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Journal articles on the topic 'Satellite telemetry'

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Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

Herawan, Agus, Elvira Rachim, and Suci Sri Utami Sutjipto. "Design of LAPAN-A2 Satellite Telemetry Data Information System Using SDLC." INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi 6, no. 1 (February 11, 2022): 43–55. http://dx.doi.org/10.29407/intensif.v6i1.16149.

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After several years of launch, the LAPAN-A2 satellite has produced a huge amount of telemetry data consisting of information on the status of the satellite's condition during orbit. The telemetry generated by the satellite is in the form of real-time telemetry and long-time telemetry. So far, telemetry data is only stored in a folder with a unique name. This method tends to be manual and makes it easier for users to analyze satellite conditions. This system was developed using the System Development Life Cycle (SDLC) approach, wherein the development process has five stages, namely planning, analysis, design, implementation, and testing. This paper will describe the design of a web-based satellite telemetry information system. The system has been tested using structural, functional, and usability tests. The evaluation results show that this information system is affordable and accepted well. The usability test results show that the LAPAN-A2 satellite, telemetry data information system, has met usability needs very well. Respondents have successfully carried out many experiments. In this case, operators and satellite analysis, with a question value of 86.22%, can be answered and 13.77% unable to be answered.

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2

Cui, Zhen, Ye Ji, Bin Chen, and Yang Yang. "A Fast Estimation Method for Satellite in Orbit Management." MATEC Web of Conferences 316 (2020): 04007. http://dx.doi.org/10.1051/matecconf/202031604007.

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The management of satellites in orbit requires accurate and rapid processing to minimize the impact of failures. Especially for fault handling involving energy security, the real-time nature of the process plays a decisive role. This paper proposes a fast estimation method based on satellite telemetry data. Through the analysis of the shape of the telemetry curve, the geometric method, the correlation analysis of the telemetry data on the satellite, or the physical principles, the required parameters are quickly obtained to facilitate rapid emergency processing. This method is applied to satellite in-orbit management, which can greatly improve the real-time performance of fault processing, and has good engineering practical value.

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3

French, John. "Wildlife telemetry by satellite." Endeavour 18, no. 1 (January 1994): 32–37. http://dx.doi.org/10.1016/0160-9327(94)90118-x.

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4

Prokhorov, A. V., and A. A. Medvedev. "Operational mapping of moving objects using the ICARUS satellite telemetry system." Geodesy and Cartography 987, no. 9 (October 20, 2022): 47–56. http://dx.doi.org/10.22389/0016-7126-2022-987-9-47-56.

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Satellite tracking is of great importance for operational monitoring of the natural environment’s components. Here, telemetry is directly used, which is a set of technologies; it enables making remote measurements and gathering data that can be provided to the operator or user. The main goal of the research is to inform the reader on the ICARUS satellite telemetry project and the related current work in Russia. The ICARUS satellite telemetry system is an international development designed for studying the animal world, including its smallest specimens, and the environment as a whole. The authors consider the issue of processing and structuring large volumes of telemetric data for the purpose of their application in the tasks of operational visualization of animal movements. We present the structure of the data obtained through this system and describe software that allows its automated processing and uses it to form a spatial thematic database. The ultimate aim of the work is to create a web application that would provide the scientific community with ICARUS telemetry information and enable operational wildlife mapping.

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5

He, Jiahui, Zhijun Cheng, and Bo Guo. "Anomaly Detection in Satellite Telemetry Data Using a Sparse Feature-Based Method." Sensors 22, no. 17 (August 24, 2022): 6358. http://dx.doi.org/10.3390/s22176358.

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Anomaly detection based on telemetry data is a major issue in satellite health monitoring which can identify unusual or unexpected events, helping to avoid serious accidents and ensure the safety and reliability of operations. In recent years, sparse representation techniques have received an increasing amount of interest in anomaly detection, although its applications in satellites are still being explored. In this paper, a novel sparse feature-based anomaly detection method (SFAD) is proposed to identify hybrid anomalies in telemetry. First, a telemetry data dictionary and the corresponding sparse matrix are obtained through K-means Singular Value Decomposition (K-SVD) algorithms, then sparse features are defined from the sparse matrix containing the local dynamics and co-occurrence relations in the multivariate telemetry time series. Finally, lower-dimensional sparse features vectors are input to a one-class support vector machine (OCSVM) to detect anomalies in telemetry. Case analysis based on satellite antenna telemetry data shows that the detection precision, F1-score and FPR of the proposed method are improved compared with other existing multivariate anomaly detection methods, illustrating the good effectiveness of this method.

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6

Wang, Yakun, Jianglei Gong, Jie Zhang, and Xiaodong Han. "A Deep Learning Anomaly Detection Framework for Satellite Telemetry with Fake Anomalies." International Journal of Aerospace Engineering 2022 (January 19, 2022): 1–9. http://dx.doi.org/10.1155/2022/1676933.

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Reducing satellite failures and keeping satellites healthy in orbit are important issues. Current satellite systems have developed modules to detect anomalies on board. However, they only target a subset of anomaly types and heavily rely on expert knowledge. To address these limitations, this paper proposes a data-driven anomaly detection framework to detect point anomalies. We first propose the Deviation Divide Mean over Neighbors (DDMN) method to figure out the fake anomaly problem caused by data errors in the satellite telemetry data. Then, we use the Long Short-Term Memory (LSTM), a deep learning method, to model the multivariable time-series data, and a Gaussian model to detect anomalies. We applied our approach to the telemetry data collected from sensors on an in-orbit satellite for more than two years and demonstrate its superiority. Moreover, we explored what conditions could lead to false alarms. The approach proposed has been deployed to the ground station to monitor the health status of the in-orbit satellites.

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7

Zhang, Ke, Haixu Jiang, and Jingyu Wang. "A Sliding Window Optimal Tracking Differentiator Filtering Method for Satellite Telemetry Data." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 38, no. 3 (June 2020): 515–22. http://dx.doi.org/10.1051/jnwpu/20203830515.

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The initial satellite telemetry data acquired by ground stations usually contain noise and outlier interference. In order to ensure the accurate analysis of satellite status, the telemetry data need to be filtered. In this paper, a sliding window optimal tracking differentiator filtering (SWOTDF) method for satellite telemetry data is proposed. Aiming at the problem of parameter selection during the filtering of the optimal tracking differentiator, the amplitude-frequency characteristics of the maximum tracking differentiator are analyzed by sine sweep frequency method, and the mapping relationship between tracking factors and filtering effects is established. On this basis, the telemetry data are divided by sliding windows, and the relationship between local stability of data in each window and tracking factors is further analyzed. The calculation method of local data tracking factor is given to realize dynamic optimal tracking differentiator filtering of telemetry data in each window. Experimental results show that the SWOTDF method can effectively avoid the limitations of traditional digital filters in processing nonlinear telemetry data, and can effectively filter out noise and outliers in satellite telemetry data.

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8

Chen, Junfu, Xiaodong Zhao, and Dechang Pi. "A deep auto-encoder satellite anomaly advance warning framework." Aircraft Engineering and Aerospace Technology 93, no. 6 (July 16, 2021): 1085–96. http://dx.doi.org/10.1108/aeat-09-2019-0185.

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Purpose The purpose of this paper is to ensure the stable operation of satellites in orbit and to assist ground personnel in continuously monitoring the satellite telemetry data and finding anomalies in advance, which can improve the reliability of satellite operation and prevent catastrophic losses. Design/methodology/approach This paper proposes a deep auto-encoder (DAE) satellite anomaly advance warning framework for satellite telemetry data. Firstly, this study performs grey correlation analysis, extracts important feature attributes to construct feature vectors and builds the variational auto-encoder with bidirectional long short-term memory generative adversarial network discriminator (VAE/BLGAN). Then, the Mahalanobis distance is used to measure the reconstruction score of input and output. According to the periodic characteristic of satellite operation, a dynamic threshold method based on periodic time window is proposed. Satellite health monitoring and advance warning are achieved using reconstruction scores and dynamic thresholds. Findings Experiment results indicate DAE methods can probe that satellite telemetry data appear abnormal, trigger a warning before the anomaly occurring and thus allow enough time for troubleshooting. This paper further verifies that the proposed VAE/BLGAN model has stronger data learning ability than other two auto-encoder models and is sensitive to satellite monitoring data. Originality/value This paper provides a DAE framework to apply in the field of satellite health monitoring and anomaly advance warning. To the best of the authors’ knowledge, this is the first paper to combine DAE methods with satellite anomaly detection, which can promote the application of artificial intelligence in spacecraft health monitoring.

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9

Yin, Hong, Shu Qiang Yang, Guo Ming Li, Ping Yin, and Song Chang Jin. "A Research of MM-SVM Technique for Fault Diagnosis." Applied Mechanics and Materials 556-562 (May 2014): 2633–37. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2633.

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With the satellite development of our country, higher accuracy and stability are requires, which makes the control systems becoming more complex and requiring more telemetry parameters. Data mining techniques do not consider the physical relationship between the various components, but use of satellite telemetry parameters of the satellite states the purpose of fault identification. In this paper, we give a model based on multiple support vector machines (MM-SVM) technology satellite fault diagnosis method. The experiment shows that our method is effective in satellite equipment fault diagnosis

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10

Patmasari, Raditiana, Inung Wijayanto, R. S. Deanto, Y. P. Gautama, and Hurianti Vidyaningtyas. "Design and Realization of Automatic Packet Reporting System (APRS) for Sending Telemetry Data in Nano Satellite Communication System." Journal of Measurements, Electronics, Communications, and Systems 4, no. 1 (June 30, 2018): 1. http://dx.doi.org/10.25124/jmecs.v4i1.1692.

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To communicate with the ground station, nano satellite requires a communication system that serves in real time to regulate the procedure with ground station. One of the missions of nano satellites is the retrieval of telemetry data from sensors that transmitted using APRS technology (Automatic Packet Reporting System). We designed a prototype to monitor sensor by utilizing the APRS. Real-time sensor data was transmitted to monitor through radio using AX.25 protocol. On the transmitter side, an APRS Tracker integrated with a microprocessor ATMEGA 1284P to modulate the AFSK signal. The existence of this AFSK signal is used to transmit and receive telemetry data using handy talky. We use a computer with AGWPE software to demodulate the AFSK signal and UI-View32 to show the telemetry data. The results showed that the telemetry data can be displayed on the receiver side and acquired in real time. The accuracy of temperature sensor received by the receiver is 92.97%, and humidity sensor is 90.57%. There was a delay of 1 second for the reception of telemetry data directly.

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11

Li, Yuqing, Mingjia Lei, Pengpeng Liu, Rixin Wang, and Minqiang Xu. "A Novel Framework for Anomaly Detection for Satellite Momentum Wheel Based on Optimized SVM and Huffman-Multi-Scale Entropy." Entropy 23, no. 8 (August 17, 2021): 1062. http://dx.doi.org/10.3390/e23081062.

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The health status of the momentum wheel is vital for a satellite. Recently, research on anomaly detection for satellites has become more and more extensive. Previous research mostly required simulation models for key components. However, the physical models are difficult to construct, and the simulation data does not match the telemetry data in engineering applications. To overcome the above problem, this paper proposes a new anomaly detection framework based on real telemetry data. First, the time-domain and frequency-domain features of the preprocessed telemetry signal are calculated, and the effective features are selected through evaluation. Second, a new Huffman-multi-scale entropy (HMSE) system is proposed, which can effectively improve the discrimination between different data types. Third, this paper adopts a multi-class SVM model based on the directed acyclic graph (DAG) principle and proposes an improved adaptive particle swarm optimization (APSO) method to train the SVM model. The proposed method is applied to anomaly detection for satellite momentum wheel voltage telemetry data. The recognition accuracy and detection rate of the method proposed in this paper can reach 99.60% and 99.87%. Compared with other methods, the proposed method can effectively improve the recognition accuracy and detection rate, and it can also effectively reduce the false alarm rate and the missed alarm rate.

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12

Zhu, Zhi Lin. "Design and Implementation of Small Satellite Flexible Test Bed." Applied Mechanics and Materials 40-41 (November 2010): 748–53. http://dx.doi.org/10.4028/www.scientific.net/amm.40-41.748.

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This paper analyzes the character and performance of the synthesized test bed on ground of small satellites. By studying several small satellite systems, the hardware and software architectures of flexible test bed are presented. The design ideas of the on-board part and the ground part of small satellite are given. The dynamic configuration for communication request/reply relation, the definition and resolution of the telemetry data signals are mainly discussed. The design and corresponding implementation are proven very effectively on the development of three small satellite systems.

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13

Keating, Kimberly A., Wayne G. Brewster, and Carl H. Key. "Satellite Telemetry: Performance of Animal-Tracking Systems." Journal of Wildlife Management 55, no. 1 (January 1991): 160. http://dx.doi.org/10.2307/3809254.

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14

Olson, Bridget E., Kimberly A. Sullivan, and Adrian H. Farmer. "Marbled Godwit migration characterized with satellite telemetry." Condor 116, no. 2 (May 2014): 185–94. http://dx.doi.org/10.1650/condor-13-024.1.

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15

Stewart, Brent S., Stephen Leatherwood, Pamela K. Yochem, and Mads-Peter Heide-Jorgensen. "HARBOR SEAL TRACKING AND TELEMETRY BY SATELLITE." Marine Mammal Science 5, no. 4 (October 1989): 361–75. http://dx.doi.org/10.1111/j.1748-7692.1989.tb00348.x.

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16

Smith, Craig S., Jonathan H. Epstein, Andrew C. Breed, Raina K. Plowright, Kevin J. Olival, Carol de Jong, Peter Daszak, and Hume E. Field. "Satellite Telemetry and Long-Range Bat Movements." PLoS ONE 6, no. 2 (February 16, 2011): e14696. http://dx.doi.org/10.1371/journal.pone.0014696.

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17

Zhang, Tao, and Yong Sheng Gui. "Telemetry Data Acquisition and Analysis in Integrated Baseband System Based on TCP/IP Protocol." Applied Mechanics and Materials 195-196 (August 2012): 1175–79. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.1175.

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This paper briefly introduced the integrated Command Ranging & Telemetry (CRT) baseband system of a satellite TT&C ground station, and a software was developed with C++ Builder 6.0 to acquire and store the important telemetry data. It effectively resolved the problems of data acquisition and storage for important parameters from baseband system, and it was applied to fault analysis and diagnosis of satellite signals.

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18

Spiridonov, A. A., D. V. Ushakov, and V. A. Saechnikov. "Simulation of Navigation Receiver for Ultra-Small Satellite." Devices and Methods of Measurements 10, no. 4 (December 12, 2019): 331–40. http://dx.doi.org/10.21122/2220-9506-2019-10-4-331-340.

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Currently, ultra-small satellite aresubjectstostringentrequirementsintermsoftheaccuracyof determining the position of the satellite in orbit, while the satellite is the subject to restrictions on mass, size and power consumption. The aim of this work is to simulate of navigation receiver operation for the ultra-small satellite with restrictions on energy consumption and computational resources.The operating conditions are considered and the requirements to the onboard navigation receiver for the ultra-small satellite are determined. The navigation receiver operation at the initial stage, performance testing, error detection, analysis of the reliability of the solution of the navigation-time determination problem are described.The structure of the design ballistics problems for orbit prediction of ultra-small spacecraft and navigation satellites, radio visibility intervals for GLONASS and GPS systems, parameters of navigation signals have been developed.The motion relative to the satellite systems GPS and GLONASS for a preliminary orbit of СubeBel-1 have been simulated. The Doppler dynamics of the GPS satellite signals in the receiver without restrictions on the relative speed for one day has been calculated. Radio visibility intervals for GPS and GLONASS satellites were calculated and optimal conditions for the cold start of the navigation receiver with a relative speed limit (Vr < 500 m/s) for 1 hour of operation both in separate and in joint operation on both systems were determined.To test the verification methods of the experimental data of the СubeBel-1 satellite, the operation of the navigation receiver of the Nsight satellite was studied according to the received telemetry from the beginning of its flight until the moment it entered stable operation.It is shown that the telemetry data of the navigation receiver at the testing stage had a significant error. After software correction, the navigation receiver worked steadily throughout the week of observation, the error of longitude and latitude measurements did not exceed 0.2 degrees.

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19

Chauhan, Mayur, Teesha Sonawane, Yash Mehta, and Mahalaxmi Palinje. "Review on Automatic Antenna Tracking System For LEO Satellites." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (January 31, 2023): 188–93. http://dx.doi.org/10.22214/ijraset.2023.48515.

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Abstract: This paper is about comparing the Yagi- Uda Antenna, Turnstile Antenna, Parabolic Antenna Phased Array Antenna with a different parameters required to track LEO Satellites and to receive the Telemetry Information from them. LEO Satellites is Low Earth Orbit typically organized as a satellite constellation. The number of Satellite LEO would be ten to even thousand to fully cover the globe. As LEO satellites move very quickly and are most visible for 20to 30 min during each pass, it requires an antenna that can track signals, and satellite paths, and upload anddownload as much data as possible in a short amount of time. The continual motion of tracing one LEO satellite after other equates to significant mechanical performance. So in this paper, we carry out a review of which antenna suites are best for tracking the LEO, getting data from them, and also the mechanical parameter of Antennas.

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Suhermanto. "PENGUJIAN MODUL PENGOLAH DATA TELEMETRI LAPAN-A3/IPB UNTUK MENGHASILKAN PRODUK LEVEL-0 (THE TESTOF LAPAN-A3/IPB TELEMETRY DATA PROCESSOR MODULE TO PRODUCE LEVEL-0 PRODUCT)." Jurnal Teknologi Dirgantara 14, no. 2 (July 21, 2017): 125. http://dx.doi.org/10.30536/j.jtd.2016.v14.a2510.

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Telemetry data processing modulis a software for converting the LAPAN-A3/IPB telemetry data into raw sensor data (level-0 product). Telemetry data output from the High Data Rate Modulator-demodulator (HDRM) becomes an input for telemetry data processor, which has entered its setup parameter. The objective of the research is to test LAPAN-A3/IPB telemetry data processor implementation. The development and processing of telemetry data have been performed on a desktop computer that are divided into two stages, data decoding and data decomposition.The performance of the software has been tested using eight samples of raw-data, consisted of multi-spectral and camera matrix data obtained before and after the launch of the satellite. The test results showed, there were no missing telemetry data frames and damaged codeword in the process of decoding.Data on missing multi-spectral lines and data on camera matrix frame lost in the process of decomposition were not found. It was concluded that the overall performance of the test result was that the system used was not able todecode, decompose, display quick-look LISA, or extractcamera matrix data in real-time.To perform as required, the computer performance needed to be increased up to 8 times. From this process, approximately 92% of CPU time were used for decoding and only about 8% were for the decomposition, extraction of data LISA, or extraction of data camera matrix.Improvement attempt by changing the word-size of 32bit processors into 64bit, did not give significant results and was only able to improve the processing speed of 8.1%. Abstrak:Modul pengolah data telemetri adalah softwareuntuk mengubah data telemetri LAPAN-A3/IPB menjadi data sensor yang masih mentah (produk level-0). Data telemetri keluaran dari perangkatHigh Data Rate Modulator-Demodulator (HDRM)menjadi masukan bagi pengolah data telemetri, yang parameter set-upnyatelah dimasukkan. Tujuan penelitian ini adalah untuk menguji implementasi pengolahan data telemetri satelit LAPAN-A3/IPB. Pembangunan dan pengolahan data telemetri telah dilakukan di komputer desktop yang dibagi dalam dua tahap, yaitu pendekodean data dan dekomposisi data. Unjuk kerja software telah diuji menggunakan delapan sampel raw-data, terdiri atas data multi-spektral dan matrik kamera yang diperoleh sebelum dan sesudah peluncuran satelit. Hasil uji memperlihatkan, tidak ditemukan frame data telemetri yang hilang dan codeword yang rusakpada proses pendekodean data. Juga tidak ditemukan data pada larikmulti-spektralyang hilang maupun data pada matrik kamera yang hilang pada proses dekomposisi. Dari uji kinerja secara keseluruhan didapat hasil bahwa sistem yang digunakan tidak mampu melakukan dekoda, dekomposisi, menampilkan quick-lookLISA,atau ekstraksi data matrik kamera secara real-time.Perlupeningkatan kinerja komputer hingga 8 kali lebih baik.Dari proses tersebut, sekitar 92% CPU time dipakai untuk pendekodean data dan hanya sekitar 8% untuk dekomposisi, ekstraksi data LISA,atau ektraksi data matrik kamera. Upaya perbaikan yang dilakukan dengan mengubah word-size prosesor dari 32bit menjadi 64bit hasilnya tidak signifikan dan hanya mampu memperbaiki kecepatan proses 8,1%.

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21

Džunda, Milan, Natália Kotianová, Peter Dzurovčin, Stanislav Szabo, Edina Jenčová, Iveta Vajdová, Peter Koščák, Dorota Liptáková, and Peter Hanák. "Selected Aspects of Using the Telemetry Method in Synthesis of RelNav System for Air Traffic Control." International Journal of Environmental Research and Public Health 17, no. 1 (December 27, 2019): 213. http://dx.doi.org/10.3390/ijerph17010213.

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Accuracy is an important factor in air traffic management which is why high requirements are necessary for each navigation system. The aim of this article is to describe the principles of the RelNav system and telemetry and their accuracy. We present the algorithms of the relative navigation system, which could be used for air traffic control in the case of the unavailability of satellite navigation system signals. This article sums up the different positioning methods, and deals with the accuracy of the relative navigation system (RelNav). Furthermore, the article considers the factors that influence the positioning accuracy. For this task, a computer simulation was created to evaluate the accuracy of the telemetric method. Next, we discuss the principles of telemetry and algorithms for calculating the position of the flying object (FO).

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22

Keating, Kim A. "An Alternative Index of Satellite Telemetry Location Error." Journal of Wildlife Management 58, no. 3 (July 1994): 414. http://dx.doi.org/10.2307/3809311.

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23

Keating, Kim A. "Mitigating Elevation-Induced Errors in Satellite Telemetry Locations." Journal of Wildlife Management 59, no. 4 (October 1995): 801. http://dx.doi.org/10.2307/3801960.

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Weimerskirch, Henri, Matthieu Le Corre, Francis Marsac, Christophe Barbraud, Olivier Tostain, and Olivier Chastel. "Postbreeding Movements of Frigatebirds Tracked with Satellite Telemetry." Condor 108, no. 1 (2006): 220. http://dx.doi.org/10.1650/0010-5422(2006)108[0220:pmoftw]2.0.co;2.

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Westgate, Andrew J., Andrew J. Read, Tara M. Cox, T. David Schofield, Brent R. Whitaker, and Kurt E. Anderson. "MONITORING A REHABILITATED HARBOR PORPOISE USING SATELLITE TELEMETRY." Marine Mammal Science 14, no. 3 (July 1998): 599–604. http://dx.doi.org/10.1111/j.1748-7692.1998.tb00746.x.

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26

Braun, Camrin D., Maxwell B. Kaplan, Andrij Z. Horodysky, and Joel K. Llopiz. "Satellite telemetry reveals physical processes driving billfish behavior." Animal Biotelemetry 3, no. 1 (2015): 2. http://dx.doi.org/10.1186/s40317-014-0020-9.

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Weimerskirch, Henri, Matthieu Le Corre, Francis Marsac, Christophe Barbraud, Olivier Tostain, and Olivier Chastel. "Postbreeding Movements of Frigatebirds Tracked with Satellite Telemetry." Condor 108, no. 1 (February 1, 2006): 220–25. http://dx.doi.org/10.1093/condor/108.1.220.

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Abstract Using satellite telemetry, we studied the postbreeding movements of Great (Fregata minor) and Magnificent Frigatebirds (F. magnificens) at two breeding colonies in the Indian and Atlantic Oceans. After breeding failure, 67% of the birds with satellite transmitters remained on the breeding colonies and continued to perform foraging trips similar to those undertaken while breeding. Two Magnificent Frigatebirds that bred at a colony off the coast of French Guiana moved west along the coast of South America, and one of the two reached Trinidad 1400 km away. One Great Frigatebird moved 4400 km from Europa Island in the Mozambique Channel to the Maldive Islands. It roosted there for at least four months, making foraging trips of up to 240 km, mainly to an area known for its high concentration of tuna. These results show that frigatebirds are able to make rapid and directed long-distance dispersal movements to other colonies or roosting sites, although the majority of birds remain based on breeding colonies.

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Jin, Weihua, Bo Sun, Zhidong Li, Shijie Zhang, and Zhonggui Chen. "Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders." Sensors 19, no. 14 (July 22, 2019): 3216. http://dx.doi.org/10.3390/s19143216.

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Satellite telemetry data contains satellite status information, and ground-monitoring personnel need to promptly detect satellite anomalies from these data. This paper takes the satellite power subsystem as an example and presents a reliable anomaly detection method. Due to the lack of abnormal data, the autoencoder is a powerful method for unsupervised anomaly detection. This study proposes a novel stage-training denoising autoencoder (ST-DAE) that trains the features, in stages. This novel method has better reconstruction capabilities in comparison to common autoencoders, sparse autoencoders, and denoising autoencoders. Meanwhile, a cluster-based anomaly threshold determination method is proposed. In this study, specific methods were designed to evaluate the autoencoder performance in three perspectives. Experiments were carried out on real satellite telemetry data, and the results showed that the proposed ST-DAE generally outperformed the autoencoders, in comparison.

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Zhang, Jiao Yan, Gang Weng Han, Wei Bo Zhu, Jing Yong Liu, and Na Kang. "On-Orbit Fault Location Analysis and Solution Strategy of GEO Satellite Solar Array." Advanced Materials Research 986-987 (July 2014): 1536–40. http://dx.doi.org/10.4028/www.scientific.net/amr.986-987.1536.

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Solar array is the important part of the satellite’s Electrical Power Supply, the failure of the solar array may lead to the loss of some or all of the satellite’s functions, so fault location in time and solution strategy of solar array is particularly important. The thesis studied the on-orbit failure of GEO satellite’s solar array, analyzed the fault location according to the related telemetry, and researched the solution of all kind of the faults. The thesis contributes to the satellite control center to locate faults in time and the satellite manufacture to improve the design of the solar array, it is helpful to improve the reliability and safety of the satellite’s on-orbit running.

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Fadlie Sabri, Sharizal, Nor'Asnilawati Salleh, and Elena Woo Lai Leng. "Designing and Developing a Ground Operation Software for Picosatellite Operation and Data Processing." Applied Mechanics and Materials 225 (November 2012): 475–80. http://dx.doi.org/10.4028/www.scientific.net/amm.225.475.

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Ground operation software (GOS) plays an important role in satellite operations. The software need to be able to retrieve, decode, display and archive the telemetry data as well as send command to control the satellite. These are mandatory functions which will allow satellite operators to communicate and command the satellite in ensuring its mission is executed as designed. Researchers in Agensi Angkasa Negara (ANGKASA) are currently developing a picosatellite as a research project using various Commercial Off-The-Shelf (COTS) components. Even the software algorithm and coding are being developed from scratch. Compared to bigger sized satellites, the picosatellite has a much simpler architecture, modules and mission, thus the required functions on GOS are greatly reduced. The communication protocol used is unique yet simple, which means the GOS will not require any additional modules to understand and interpret either the telemetry data or payload data received as it is already in an easy-to-understand format. GOS was developed using .Net platform with several modules for easy maintenance and expansion of the system. Closed-loop simulation was applied to test the functionalities of GOS as well as for debugging purposes. Results of the simulation are presented at the end of the paper. In conclusion, the GOS may require a few upgrades due to a change of hardware. However, it will still remain as the main reference for future development of GOS.

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Liu, Chan, Liping Chen, Jianwan Ding, and Duansen Shangguan. "Modeling of Satellite Constellation in Modelica and a PHM System Framework Driven by Model Data Hybrid." Electronics 11, no. 14 (July 9, 2022): 2155. http://dx.doi.org/10.3390/electronics11142155.

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The new generation of low-earth-orbit (LEO) satellite constellation systems has the characteristics of low delay, strong signal and global coverage, and it is an important direction for the development of next-generation communication technology. A major disadvantage is that the constellation system is huge, often composed of hundreds or thousands of satellites, which puts forward high requirements for the design and health management of the constellation system, and the existing telemetry data monitoring system cannot meet the actual needs. CPS is a multidimensional complex system that integrates computation, communication and control (3C). Through the deep integration and cooperation of 3C, the real-time monitoring and dynamic control of large-scale engineering systems are realized, which is completely suitable for the operation and maintenance requirements of the satellite constellation system. This paper firstly establishes the entire satellite constellation system model, which is integrated from the satellite multidomain system, the constellation orbit environment system and the communication link system. Then, according to the technical concept of cyber-physical systems (CPS), an implementation framework of a prognostics and health (PHM) system driven by a model–data hybrid for satellite constellation systems is proposed. The framework is based on model simulation data and telemetry data and combines virtual and real data fusion, fault diagnosis, simulation prediction and other technologies to generate enhanced data to drive the effective operation of the PHM system. Finally, a verification case is designed to prove that the satellite constellation health management system implemented under this framework has a positive effect on the reliable operation and maintenance of the satellite constellation system.

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Fu, Na, Guanghua Zhang, Keqiang Xia, Kun Qu, Guan Wu, Minzhang Han, and Junru Duan. "Research on fault detection and principal component analysis for spacecraft feature extraction based on kernel methods." Open Astronomy 31, no. 1 (January 1, 2022): 333–39. http://dx.doi.org/10.1515/astro-2022-0194.

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Abstract Satellite anomaly is a process of evolution. Detecting this evolution and the underlying feature changes is critical to satellite health prediction, fault early warning, and response. Analyzing the correlation between telemetry parameters is more convincing than detecting single-point anomalies. In this article, principal component analysis method was adopted to downscale the multivariate probability model, T 2 {T}^{2} statistic was checked to determine the data anomaly, without the trouble of threshold setting. After an anomaly was detected, time-domain visualization and dimension reduction methods were introduced to visualize the satellite anomaly evolution, where the dimensions of telemetry or features were reduced and presented in two- or three-dimensional coordinates. Engineering practice shows that this method facilitates the early detection of satellite anomalies, and helps ground operators to respond in the early stages of an anomaly.

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Cespedes, Adolfo Javier Jara, Bramandika Holy Bagas Pangestu, Akitoshi Hanazawa, and Mengu Cho. "Performance Evaluation of Machine Learning Methods for Anomaly Detection in CubeSat Solar Panels." Applied Sciences 12, no. 17 (August 29, 2022): 8634. http://dx.doi.org/10.3390/app12178634.

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CubeSat requirements in terms of size, weight, and power restrict the possibility of having redundant systems. Consequently, telemetry data are the primary way to verify the status of the satellites in operation. The monitoring and interpretation of telemetry parameters relies on the operator’s experience. Therefore, telemetry data analysis is less reliable, considering the data’s complexity. This paper presents a Machine Learning (ML) approach to detecting anomalies in solar panel systems. The main challenge inherited from CubeSat is its capability to perform onboard inference of the ML model. Nowadays, several simple yet powerful ML algorithms for performing anomaly detection are available. This study investigates five ML algorithm candidates, considering classification score, execution time, model size, and power consumption in a constrained computational environment. The pre-processing stage introduces the windowed averaging technique besides standardization and principal component analysis. Furthermore, the paper features the background, bus system, and initial operational data of BIRDS-4, a constellation made of three 1U CubeSats released from the International Space Station in March 2021, with a ML model proposal for future satellite missions.

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Long, Bing, Zhengji Song, and Xingwei Jiang. "On‐line monitoring and diagnosis for satellite telemetry data." Aircraft Engineering and Aerospace Technology 77, no. 1 (February 2005): 42–51. http://dx.doi.org/10.1108/00022660510576037.

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Roberts, Anthony, Emily Silverman, and Suzanne Gifford. "Sample size considerations for satellite telemetry and animal distributions." Journal of Wildlife Management 82, no. 7 (June 14, 2018): 1536–44. http://dx.doi.org/10.1002/jwmg.21504.

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Moore, Joseph D., David E. Andersen, Thomas R. Cooper, Jeffrey P. Duguay, Shaun L. Oldenburger, C. Al Stewart, and David G. Krementz. "Migratory connectivity of American woodcock derived using satellite telemetry." Journal of Wildlife Management 83, no. 7 (August 5, 2019): 1617–27. http://dx.doi.org/10.1002/jwmg.21741.

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Peng, Yi, Qi Han, Fei Su, Xingwei He, and Xiaohu Feng. "Meteorological Satellite Operation Prediction Using a BiLSTM Deep Learning Model." Security and Communication Networks 2021 (June 21, 2021): 1–9. http://dx.doi.org/10.1155/2021/9916461.

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The current satellite management system mainly relies on manual work. If small faults cannot be found in time, it may cause systematic fault problems and then affect the accuracy of satellite data and the service quality of meteorological satellite. If the operation trend of satellite will be predicted, the fault can be avoided. However, the satellite system is complex, and the telemetry signal is unstable, nonlinear, and time-related. It is difficult to predict through a certain model. Based on these, this paper proposes a bidirectional long short-term memory (BiLSTM) deep leaning model to predict the operation trend of meteorological satellite. In the method, the layer number of the model is designed to be two, and the prediction results, which are forecasted by LSTM network as the future trend data and historical data, are both taken as the input of BiLSTM model. The dataset for the research is generated and transmitted from Advanced Geostationary Radiation Imager (AGRI), which is the load of FY4A meteorological satellite. In order to demonstrate the superiority of the BiLSTM prediction model, it is compared with LSTM based on the same dataset in the experiment. The result shows that the BiLSTM method reports a state-of-the-art performance on satellite telemetry data.

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Roshier, David A., and Martin W. Asmus. "Use of satellite telemetry on small-bodied waterfowl in Australia." Marine and Freshwater Research 60, no. 4 (2009): 299. http://dx.doi.org/10.1071/mf08152.

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The nomadic or dispersive movements of many Australian waterfowl in response to irregular environmental cues make satellite telemetry studies the only means by which these long-distance movements can be tracked in real time. Unlike some large-bodied soaring species, attaching satellite transmitters to small-bodied waterfowl (<1 kg) is not straightforward because ducks have high wing loadings and need to maintain active flapping to stay aloft. In the present paper, we detail one harness design and attachment method that enabled us to track grey teal (Anas gracilis) for up to 879 days. In addition, we detail rates of data loss, changes in data quality over time and variation in data quality from solar-powered satellite-tags deployed on ducks in Australia and Papua New Guinea. Up to 68% of all locational fixes have a nominal accuracy of less than 1 km, and satellite-tags deployed on wild birds can provide up to 22 location fixes per day and store enough energy during the day to run continuously throughout the night.

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Martins, A. P. B., M. R. Heupel, A. Oakley-Cogan, A. Chin, and C. A. Simpfendorfer. "Towed-float GPS telemetry: a tool to assess movement patterns and habitat use of juvenile stingrays." Marine and Freshwater Research 71, no. 1 (2020): 89. http://dx.doi.org/10.1071/mf19048.

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GPS telemetry provides high-accuracy spatial data on animal movement; however, it has rarely been used with benthic organisms, such as stingrays, because of their irregular surfacing behaviour or bottom-dwelling habits. This study evaluated the use of towed-float GPS tags to assess movements of juvenile stingrays, with active tracking performed simultaneously for comparison. Four juvenile Urogymnus granulatus individuals (2 females and 2 males; average 32.2-cm disc width) were tracked in April 2016. Individuals travelled 1332.15±269.58m south-east across Pioneer Bay at an average speed of 6.87mmin–1 in 3.7h. Stationary tests demonstrated that the quality of the data obtained by towed-float GPS tags could not be matched by active, acoustic or ARGOS telemetry, reaching, on average, 99% of successful fixes and <15-m accuracy. Location error varied significantly based on the number of satellites detected, with error decreasing as the satellite number increased. This study demonstrated the potential of towed-float GPS telemetry for high-resolution assessment of movement patterns and habitat use of juvenile stingrays in shallow coastal water. If well applied, this technique can increase our knowledge of juvenile stingray ecology and their essential habitats.

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Holgate, S. J., P. L. Woodworth, P. R. Foden, and J. Pugh. "A Study of Delays in Making Tide Gauge Data Available to Tsunami Warning Centers." Journal of Atmospheric and Oceanic Technology 25, no. 3 (March 1, 2008): 475–81. http://dx.doi.org/10.1175/2007jtecho544.1.

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Abstract This short note provides conclusions of a study of the various factors that determine the delay between tsunami arrival at a tide gauge station and data being made available at tsunami warning centers. The various delays involved include those associated with the tide gauge hardware and measurement methods and with the form of telemetry employed. It is shown that the most widely used form of telemetry in existing tsunami networks (meteorological satellite data collection platforms) can be improved upon significantly with the use of modern telemetry alternatives [notably Inmarsat’s Broadband Global Area Network (BGAN)], enabling faster, more frequent, more secure, and higher bandwidth transmissions of tide gauge data.

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Acierto, Ralph Allen, Akiyuki Kawasaki, Win Win Zin, Aung Than Oo, Khon Ra, and Daisuke Komori. "Development of a Hydrological Telemetry System in Bago River." Journal of Disaster Research 13, no. 1 (February 20, 2018): 116–24. http://dx.doi.org/10.20965/jdr.2018.p0116.

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Hydrological monitoring is one of the key aspects in early warning systems that are vital to flood disaster management in flood-prone areas such as Bago River Basin in Myanmar. Thousands of people are affected due to the perennial flooding. Owing to the increasing pressure of rapid urbanization in the region and future climate change impacts, an early warning system in the basin is urgently required for disaster risk mitigation. This paper introduces the co-establishment of the telemetry system by a group of stakeholders. The co-establishment of the system through intensive consultations, proactive roles in responsibility sharing, and capacity building efforts, is essential in developing a base platform for flood forecasting and an early warning system in the basin. Herein, we identify the key challenges that have been central to the participatory approach in co-establishing the system. We also highlight opportunities as a result of the ongoing process and future impact on the disaster management system in the basin. We also highlight the potential for scientific contributions in understanding the local weather and hydrological characteristics through the establishment of the high-temporal resolution observation network. Using the observation at Zaung Tu Weir, Global Satellite Mapping of Precipitation (GSMaP) and Global Precipitation Measurement (GPM) satellite estimates were assessed. Near real-time and standard versions of both satellite estimates show potential utility over the basin. Hourly aggregation shows slightly higher than 40% probability of detection (POD), on average, for both satellite estimates regardless of the production type. Thus, the hourly aggregation requires correction before usage. The results show useful skills at 60% POD for standard GSMaP (GSMAP-ST), 55% POD for near real-time GSMaP (GSMAP-NR), and 46% POD for GPM, at 3-hourly aggregations. Six-hourly aggregations show maximum benefit for providing useful skill and good correspondence to gauge the observation with GSMAP-ST showing the best true skill score (TSS) at 0.54 and an equitable threat score (ETS) at 0.37. While, both final run GPM and GSMAP-NR show lower POD, TSS, and ETS scores. Considering the latency of near real-time satellite estimates, the GSMAP-NR shows the best potential with a 4-hour latency period for monitoring and forecasting purposes in the basin. The result of the GSMAP-NR does not vary significantly from the GSMAP-ST and all GPM estimates. However, it requires some correction before its usage in any applications, for modeling and forecasting purposes.

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Liu, Xiao Peng, Wei Wei Wang, and Xiao Ni Chen. "Calculation and Applied Research of Satellite Solar Radiation Pressure Torque." Advanced Materials Research 791-793 (September 2013): 1415–18. http://dx.doi.org/10.4028/www.scientific.net/amr.791-793.1415.

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Satellite solar radiation pressure torque is one of the major long-term interference after the satellite finishes positioning and starts to working. However, there is no method to verify the calculation of solar radiation pressure torque. This paper is to analyze the in-orbit telemetry data of satellite DFH-3. Based on the results of data fitting and pressure torque calculation, the paper aims to test the accuracy of the calculation methods.

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Kimura, Shinichi, Yuki Asakura, Hiroaki Doi, and Masahiro Nakamura. "Document-Based Programming System for Seamless Linking of Satellite Onboard Software and Ground Operating System." Journal of Robotics and Mechatronics 29, no. 5 (October 20, 2017): 801–7. http://dx.doi.org/10.20965/jrm.2017.p0801.

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In satellites, onboard software is required to perform complicated mission sequences and autonomous scheduling, conduct preliminary data processing, and manage various onboard devices. The dependability of onboard software strongly affects the reliability of a satellite itself. Therefore, the onboard software must be both complex and reliable to perform complicated small satellite missions. We propose an automatic software generator to meet these requirements. This generates onboard software and a database for the ground operating system using satellite development documents, such as command and telemetry definition documents and fault detection, isolation, and recovery (FDIR) definition documents. By using this software generator, the software development load can be reduced and human error can be avoided, even if the definitions are modified in an ad hoc manner during the development process. The generator additionally enables the easy accommodation of user preferences and software depth variation during a mission.

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He, Yunhan, Boxin Li, Zhaokui Wang, and Yulin Zhang. "Thermal Design and Verification of Spherical Scientific Satellite Q-SAT." International Journal of Aerospace Engineering 2021 (September 16, 2021): 1–11. http://dx.doi.org/10.1155/2021/9961432.

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Small satellites have gradually become an important mean of space scientific exploration. The Tsinghua University developed a spherical small satellite, Q-SAT, which is aimed at detecting the Earth gravity and atmosphere parameters. In the current paper, thermal control for Q-SAT is discussed. For heat exchange between the satellite and the environment, radiation plays the main part. Different from traditional cuboid satellites, the current spherical satellite has no individual heat input and output plane which brings challenges to the thermal design of the satellite. In addition, the cost of small satellites is required to be as low as possible. A passive thermal control solution based on integrated spherical structure is employed on the Q-SAT. The combination of two integrated hemispheres is designed to facilitate the heat conduction. Different materials are utilized to control the heat transfer path. Firstly, a set of numerical simulations demonstrate that the current design can be well adapted to complex flight environment. Next, the thermal design is verified by thermal tests. As the traditional heat radiation lamps cannot meet the test requirements of the spherical satellite, an external heat flow test method which is based on distributed heaters is proposed. Results from numerical simulations agree well with the experimental test results. Both results show that the thermal system can guarantee the functions of the satellite. Q-SAT was successfully launched into orbit on August 6, 2020. The telemetry data from Q-SAT verified the effectiveness of the satellite thermal system. The thermal design and test method proposed in present paper can potentially be adopted to other small scientific satellites as well.

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Curatolo, James A. "Evaluation of a satellite telemetry system for monitoring movements of caribou." Rangifer 6, no. 2 (June 1, 1986): 73. http://dx.doi.org/10.7557/2.6.2.585.

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A cow caribou from the Central Arctic Herd was collared with a satellite-monitored radio transmitter in the Kuparuk Oilfield, Alaska, in 1984. From 19 June to 17 August, the radio transmitted 18 hours per day. A total of 346 locations were recorded, for a mean of 5.8 locations per day or one location every 3.1 hours of transmission time. The location of 13 direct observations of the radio-collared cow averaged less than 1 km from the nearest satellite-fixed location. The satellite-fixed locations of the radio-collared cow provided detailed data on movement patterns during the three seasons studied. The cow traveled an average of 8 km day1, 23 km1, and 14 km day1 during the post-calving season, mosquito season, and oestrid fly season, respectively.

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Bonadonna, Francesco, and Anna Gagliardo. "Not only pigeons: avian olfactory navigation studied by satellite telemetry." Ethology Ecology & Evolution 33, no. 3 (February 16, 2021): 273–89. http://dx.doi.org/10.1080/03949370.2021.1871967.

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LINDBERG, MARK S., and JOHANN WALKER. "Satellite Telemetry in Avian Research and Management: Sample Size Considerations." Journal of Wildlife Management 71, no. 3 (May 2007): 1002–9. http://dx.doi.org/10.2193/2005-696.

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Nainer, Carlo, Hugues Garnier, Marion Gilson, Hélène Evain, and Christelle Pittet. "Parameter estimation of a gyroless micro-satellite from telemetry data." Control Engineering Practice 123 (June 2022): 105134. http://dx.doi.org/10.1016/j.conengprac.2022.105134.

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49

Goulet, Anne-Marie, Mike O. Hammill, and Cyrille Barrette. "QUALITY OF SATELLITE TELEMETRY LOCATIONS OF GRAY SEALS (HALICHOERUS GRYPUS)." Marine Mammal Science 15, no. 2 (April 1999): 589–94. http://dx.doi.org/10.1111/j.1748-7692.1999.tb00827.x.

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Gutierrez, Roberto, Jose M. Blanes, David Marroqui, Ausias Garrigos, and Francisco Javier Toledo. "System-on-Chip for Real-Time Satellite Photovoltaic Curves Telemetry." IEEE Transactions on Industrial Informatics 14, no. 3 (March 2018): 951–57. http://dx.doi.org/10.1109/tii.2017.2755463.

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