Relevant bibliographies by topics / Satellite telemetry

Academic literature on the topic 'Satellite telemetry'

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Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Satellite telemetry"

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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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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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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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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Satellite telemetry"

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Blasdel, Arthur N. Jr. "Simulating Satellite Telemetry." International Foundation for Telemetering, 1989. http://hdl.handle.net/10150/614700.

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International Telemetering Conference Proceedings / October 30-November 02, 1989 / Town & Country Hotel & Convention Center, San Diego, California
Ford Aerospace Corporation has been investigating the use of intelligent systems to automate space mission support functions since the early 1980's. A product of this research is Paragon, a model-based development environment for intelligent systems. Paragon has been used to develop functional models of satellites that are robust in their abilities to represent satellite behavior. The models have been used to simulate both nominal and anomalous temporal behavior. This paper describes our simulation approach and how the telemetry output from the system can be used during training and rehearsals to provide a closed-loop, interactive response to a wide variety of scenarios.
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Flink, Erik. "A simple fragmentation protocol for satellite telemetry : Transmission of large telemetry from the MIST satellite." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279417.

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MIniature STudent satellite (MIST) is a project at the Royal Institute of Technology (KTH) in Stockholm where students build a satellite. The satellite will be placed into orbit around the earth carrying six experiments. One of the experiments on-board the MIST satellite will need to send larger units of data than the radio on-board can send at a time. Therefore, the data will need to be fragmented before it is sent and then defragmented when it is received. The fragmentation protocol to be used, and its implementation, will need to meet the MIST satellite’s requirements and limitations. It should add as little overhead and complexity as possible. This thesis proposes a fragmentation protocol and presents an implementation that enables experiments on-board the MIST satellite to send larger units of data than on-board radio allows. The design of the protocol is based on existing network protocols, but tailored for use on the MIST satellite. The proposed protocol may be possible to use in other satellites or embedded systems applications. This may however require some modifications.
MIniature STudent satellite (MIST) är ett projekt på Kungliga Tekniska Högskolan (KTH) i Stockholm där studenter bygger en satellit. Satelliten kommer att placeras i omloppsbana runt jorden med sex experiment ombord. Ett av experimenten ombord på MIST-satelliten behöver skicka större data än vad radiomodulen ombord kan sända åt gången. Därför behöver datan fragmenteras innan den skickas och sedan defragmenteras då den tas emot. Fragmenteringsprotokollet som ska användas, och dess implementation, behöver uppfylla MIST-satellitens krav och begränsningar. Protokollet bör tillföra så lite overhead och komplexitet som möjligt. Detta examensarbete föreslår ett fragmenteringsprotokoll och presenteraren implementation som möjliggör för experimenten ombord MIST-satelliten att sända större data än vad radiomodulen tillåter. Protokollets design är baserat på existerande nätverksprotokoll, men skräddarsytt för att användas av MIST-satelliten. Det föreslagna protokollet kan användas av andra satelliter eller inbyggda system. Detta kan dock kräva vissa anpassningar.
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STIERS, R., and T. LYDON. "REMOTE TELEMETRY CONCEPTS." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/613126.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
A Remote Telemetry Station (RTS) was developed to support Boeing’s requirement to relocate its flight test telemetry range away from Seattle, Wa. As requirements to relocate the test range were investigated high level requirements were documented and various approaches were evaluated. The end result of the analysis and requirements definition was the procurement of the Remote Telemetry Station (RTS). The RTS is capable of supporting many sites, tracking and receiving up to 1024 Kbits/sec of telemetry data, providing fully redundant two-way radio communication in the UHF and VHF bands, linking all the data back to Seattle and appearing transparent to the users. The RTS was designed and developed by a Boeing/Veda Incorporated team. The end result of this joint design and development effort is a system that meets all Boeing requirements in a highly integrated, extremely efficient, and very flexible package providing for growth through the year 2000.
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Maurer, Ricky L. "NEAR REAL-TIME TELEMETRY UTILIZING SATELLITE COMMUNICATIONS." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/608397.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada
Satellite transmission systems have proven themselves very effective in a variety of applications. One such application is the transmission of telemetry (TM) data and associated information in a near real-time environment. This paper describes the satellite data relay system currently utilized by the Telemetry Data Center at Patuxent River, Maryland and the corresponding remote receiving site, and discusses the performance of this system.
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Massaccesi, Luciano. "Machine Learning Software for Automated Satellite Telemetry Monitoring." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20502/.

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During the lifetime of a satellite malfunctions may occur. Unexpected behaviour are monitored using sensors all over the satellite. The telemetry values are then sent to Earth and analysed seeking for anomalies. These anomalies could be detected by humans, but this is considerably expensive. To lower the costs, machine learning techniques can be applied. In this research many diferent machine learning techniques are tested and compared using satellite telemetry data provided by OHB System AG. The fact that the anomalies are collective, together with some data properties, is exploited to improve the performances of the machine learning algorithms. Since the data comes from a real spacecraft, it presents some defects. The data covers in fact a small time-lapse and does not present critical anomalies due to the spacecraft healthiness. Some steps are then taken to improve the evaluation of the algorithms.
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Stuhlsatz, Kelly J. "Design & develop a satellite telemetry display application." [Denver, Colo.] : Regis University, 2006. http://165.236.235.140/lib/KStuhlsatz2006.pdf.

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Nasta, Rodolphe. "TELECOMMUNICATION SATELLITE TELEMETRY TRACKING AND COMMAND SUB-SYSTEM." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/607355.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
This paper gives an overview on Telemetry, Tracking and Command (TTC) sub-system that are used onboard some telecommunication satellites. Then, a description of the equipments of such a sub-system is given, together with the main performances.
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Figueiredo, Marco, and Terry Graessle. "APPLICATION OF ADAPTIVE COMPUTING IN SATELLITE TELEMETRY PROCESSING." International Foundation for Telemetering, 1998. http://hdl.handle.net/10150/609214.

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International Telemetering Conference Proceedings / October 26-29, 1998 / Town & Country Resort Hotel and Convention Center, San Diego, California
The advent of adaptive computers built from re-programmable logic devices presents a potential solution for meeting the data processing requirements of the new era of Earth monitoring satellites to be launched by the National Aeronautics and Space Administration (NASA) Earth Science Enterprise project. The Earth Observing System (EOS) AM-1 spacecraft, the first satellite of this new era, will produce in only six months as much data as NASA has collected to this date. As a consequence, the Earth Science Data and Information System (ESDIS) project is building high performance and highly costly parallel processing systems to address the real-time data production requirements. Together with the high performance front-end ingest and level 0 processing microcircuits developed in-house at the Goddard Space Flight Center’s (GSFC) Data Systems Technology Division (DSTD), adaptive computers present a possible alternative to traditional CPU-based systems to increase the performance while reducing the cost of satellite telemetry processing systems. The Adaptive Scientific Data Processing (ASDP) project has been investigating the use of adaptive computers in the implementation of space borne scientific data processing systems. An order of magnitude processing speed acceleration over high-end workstations has been demonstrated for both level 1 and level 3 algorithms. This paper discusses the use of adaptive computing in satellite telemetry processing systems, level 1 and beyond. Primarily, it describes the efforts and presents the results of two prototypes developed by the ASDP project. The limitations of the current state of the technology are discussed and the expected improvements to facilitate the adoption of adaptive computers are presented. Finally, future work of the ASDP project is discussed.
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Martin, Kamalini. "THE TELEMETRY TEST STATION - AN INTRODUCTION." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/613119.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada
The Telemetry Test Station has been developed at the Digital Systems Division, ISRO Satellite Centre, to test House Keeping Telemetry Packages which will be flown onboard satellites. The main feature of the Test Staion is its configurability, since it is intended to be used with different types of (low bit rate) telemetry packages. Other features include automation of test procedure, and reduction in testing time/increase in repeatability due to minimisation of manual interaction. Since the test station comprises GPIB controlled equipment, hardware and software, thf configurability should be built in at all levels and stages, from design to implementation. Thus since the specification is subject to change, the configuration for structure of the system is traosferred from the designer to the user. This results in a large part of the system being devoted to user interface design, since the computer which is an integral part of the setup must be ‘invisible’ to the user. Due to specialised requirements the user and the system are treated at peer level i.e, at any time during the entire test session, the user can override system process and verify/correct it and equally, the system must also verify/correct user input especially with regard to critical test procedures. The test tession itself (after configuration) is divided into three equally important sections: preprocessing, test and analysis. All the data required during the test run should be made ready before the actual test. Since it has been found by experience that this is not always convenient, the preprocessing software is integrated in to the test session so that the user can perform this at any time. Similarly, the results of the test can also be analysed immediately or even during the test to improve subsequent procedures. This paper describes the prototype telemetry test station which has been built and tested over the past two years. This performance has been satisfactory. The system integration features and design problems and solution are high lighted.
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Boshielo, Babudi Turcia. "A reliable telemetry software design for a satellite system." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52129.

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Thesis (MScEng)--University of Stellenbosch, 2001.
ENGLISH ABSTRACT: One of the requirements for satellite telemetry systems is the provision of reliable telemetry data to allow accurate monitoring of the satellite status. This thesis focuses on the design of telemetry software that meets this data reliability requirement. An improved synchronization strategy to allow efficient ground reception of the telemetry data is implemented on SUNSAT's direct link. The data collection and transmission functions are also enhanced by the addition of the necessary redundant information to the data while meeting the real-time requirements of the system. To enhance the software quality a development methodology entailing structured programming practices and modular decomposition is proposed. It is shown that the resulting telemetry software fulfils the functional requirements.
AFRIKAANSE OPSOMMING: Een van die vereistes vir die satelliet telemetrie stelsel is die verskaffing van betroubare telemetrie date om akkurate monitering van die satelliet status te verseker. Hierdie tesis fokus op die ontwerp van die telemetrie sagteware wat hierdie data betroubaarheid bevredig. 'n Verbeterde sinkronisasie strategie is geïmplementeer om meer effektiewe grond ontvangs te verseker van die telemetrie data op SUNSAT se direkte skakel. Die data versameling en transmissie funksies is ook verder verbeter deur die aanvulling van nodige oortollige informasie in die data terwyl die intydse vereistes van die stelsel steeds bevredig word. Om die sagteware kwaliteit te verbeter is 'n ontwikkelings metodiek voorgestel wat gestruktureerde programeering strukture en modulêre oplossings tot gevolg het. Die voltooide telemetrie sagteware het getoon dat dit al die vereistes bevredig.
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Books on the topic "Satellite telemetry"

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Strangeways, Ian C. The telemetry of hydrological data by satellite. Wallingford, Oxon: Institute of Hydrology, 1990.

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Jackson, James A. Tracking and Data Relay Satellite System (TDRSS) support of user spacecraft without TDRSS transponders. [Washington, DC]: National Aeronautics and Space Administration, 1997.

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Benedetto, Sergio. A flexible near-shannon SCCC turbo code for telemetry applications. Noordwijk, The Netherlands: ESA Publications Division, ESTEC, 2005.

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Richard, P. R. Study of summer and fall movements and dive behaviour of Beaufort Sea Belugas, using satellite telemetry: 1992-1995. Calgary: Environmental Studies Research Fund, 1997.

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Parrett, Charles. Comparison of conventional onsite recorders and satellite telemetry for surface-water data collection by the U.S. Geological Survey. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1992.

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Briscoe, Melbourne G. Status report on ocean data telemetry. Woods Hole, Mass: Woods Hole Oceanographic Institution, 1986.

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Priede, I. G. Wildlife telemetry: Remote monitoring and tracking animals. New York: Ellis Horwood, 1992.

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Priede, I. G. Wildlife telemetry: Remote monitoring and tracking of animals. New York: Ellis Horwood, 1992.

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Telemetry of Hydrological Data by Satellite. Centre for Ecology & Hydrology, 1990.

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1954-, Horan Stephen John, and United States. National Aeronautics and Space Administration., eds. Telemetry data collection from OSCAR satellite. [Washington, DC: National Aeronautics and Space Administration, 1998.

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Book chapters on the topic "Satellite telemetry"

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Guest, Arthur Norman. "Telemetry, Tracking, and Command (TT&C)." In Handbook of Satellite Applications, 1067–78. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-7671-0_69.

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Guest, Arthur Norman. "Telemetry, Tracking, and Command (TT&C)." In Handbook of Satellite Applications, 1313–24. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-23386-4_69.

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Guest, Arthur Norman. "Telemetry, Tracking, and Command (TT&C)." In Handbook of Satellite Applications, 1–12. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6423-5_69-3.

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Penttinen, Jyrki T. J. "Satellite Systems: Location Services and Telemetry." In The Telecommunications Handbook, 603–19. Chichester, UK: John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118678916.ch17.

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Chen, Meishan, Qiang Mu, Jinyuan Ma, and Xin Li. "A Design of Satellite Telemetry Acquisition System." In Lecture Notes in Electrical Engineering, 811–18. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9409-6_95.

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Madry, Scott. "Doppler Satellite Positioning, Telemetry and Data Systems." In Global Navigation Satellite Systems and Their Applications, 9–26. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4939-2608-4_2.

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Stokesbury, Michael J. W., Ronan Cosgrove, Andre Boustany, Daragh Browne, Steven L. H. Teo, Ronald K. O’Dor, and Barbara A. Block. "Results of satellite tagging of Atlantic bluefin tuna, Thunnus thynnus, off the coast of Ireland." In Developments in Fish Telemetry, 91–97. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/978-1-4020-6237-7_10.

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Liu, Yilun, and Lidong Zhu. "Capacity Analysis of Panoramic Multi-beam Satellite Telemetry and Command System." In Wireless and Satellite Systems, 561–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19153-5_57.

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Li, Zhidong, Bo Sun, Weihua Jin, Lei Zhang, and Rongzheng Luo. "Satellite Telemetry Anomaly Detection Based on Gradient Boosting Regression with Feature Selection." In Wireless and Satellite Systems, 210–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69072-4_18.

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Lisi, Marco, and Enrico Saggese. "Global Spaceborn Telemetry and Telecommand Infrastructure for LEO Satellites." In Mobile and Personal Satellite Communications 3, 149–57. London: Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0809-2_10.

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Conference papers on the topic "Satellite telemetry"

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BUSCH, CHARLES, and JOSE FERNANDEZ. "Improved telemetry diversity combiner system." In 12th International Communication Satellite Systems Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-796.

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Ding, S. "4.3 - Design of Telemetry System for Low Orbit Satellite Based On Short Message Service of BeiDou III Navigation Satellite System." In ettc2018 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2018. http://dx.doi.org/10.5162/ettc2018/4.3.

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Alexiev, Kiril, Ivan Tkachenko, Maksim Ivanushkin, and Sergey Volgin. "Telemetry Information Restoring in Satellite Communications." In CompSysTech '20: International Conference on Computer Systems and Technologies '20. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3407982.3408024.

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Charcosset, A., F. Morel, and J. Siega. "7.5 OASIS: a big data platform for satellite testing." In ettc2022 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2022. http://dx.doi.org/10.5162/ettc2022/7.5.

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Sharma, Satish, P. N. Ravichandran, Sunil, P. Lakshminarsimhan, and R. Seshaiah. "Wireless Telecommand and Telemetry System for Satellite." In 2007 3rd International Conference on Recent Advances in Space Technologies. IEEE, 2007. http://dx.doi.org/10.1109/rast.2007.4284054.

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Anandan, V. K., Kumar C. Pradeep, S. N. V. Satyanarayana, and Manas Sarkar. "Multiple Satellite Telemetry and Tracking System (MuST)." In 2018 IEEE Indian Conference on Antennas and Propogation (InCAP). IEEE, 2018. http://dx.doi.org/10.1109/incap.2018.8770889.

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Lan, T., A. Dodinoiu, A. Geffert, and U. Becker. "3.1 Machine-Learning-Based Position Error Estimation for Satellite-Based Localization Systems." In ettc2020 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2020. http://dx.doi.org/10.5162/ettc2020/3.1.

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Pinto Prata, R., A. Linhares de Souza-Filho, A. Barbosa de Souza, T. Aurélio Bakaus, R. T. de Sousa Jr., and C. Queiroz. "7.4 Protecting Satellite Downlink Tracking and Telemetry Channels by IMT-2020 5G Base Stations Protection Belts Surrounding Satellite TT&C Earth Stations Operating in the 40 GHz Band." In ettc2020 - European Test and Telemetry Conference. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2020. http://dx.doi.org/10.5162/ettc2020/7.4.

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Sun, Chao, Shaojun Chen, Mingzhang E, Ying Du, and Chuanmin Ruan. "Satellite Micro Anomaly Detection Based on Telemetry Data." In 2020 IEEE 9th Data Driven Control and Learning Systems Conference (DDCLS). IEEE, 2020. http://dx.doi.org/10.1109/ddcls49620.2020.9275260.

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Baek, Hyun Chul, Young-Wook Kim, Young Cheul Kim, Myung Muk Kim, Sang-il Ahn, and Sang Jeong Lee. "An integrated telemetry system for multi-satellite operations." In SpaceOps 2016 Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-2317.

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Reports on the topic "Satellite telemetry"

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Maurer, Ricky L. Near Real-Time Telemetry Utilizing Satellite Communications. Fort Belvoir, VA: Defense Technical Information Center, August 1995. http://dx.doi.org/10.21236/ada300638.

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Claridge, Diane E., and John W. Durban. Monitoring Beaked Whale Movements During Submarine Commanders Course Using Satellite Telemetry Tags. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada541766.

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Falcone, Erin A., and Gregory S. Schorr. Distribution and Demographics of Marine Mammals in SOCAL Through Photo-Identification, Genetics, and Satellite Telemetry. Fort Belvoir, VA: Defense Technical Information Center, December 2014. http://dx.doi.org/10.21236/ada613907.

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Falcone, Erin A., and Gregory S. Schorr. Distribution and Demographics of Marine Mammals in SOCAL through Photo-Identification, Genetics, and Satellite Telemetry: A Summary of Surveys Conducted 1 July 2011 - 15 June 2012. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada567623.

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Falcone, Erin A., and Gregory S. Schorr. Distribution and Demographics of Marine Mammals in Socal Through Photo-Identification Genetics, and Satellite Telemetry: A Summary of Surveys Conducted 1 July 2012-30 June 2013. Fort Belvoir, VA: Defense Technical Information Center, August 2013. http://dx.doi.org/10.21236/ada601387.

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Plueddemann, Albert, Benjamin Pietro, and Emerson Hasbrouck. The Northwest Tropical Atlantic Station (NTAS): NTAS-19 Mooring Turnaround Cruise Report Cruise On Board RV Ronald H. Brown October 14 - November 1, 2020. Woods Hole Oceanographic Institution, January 2021. http://dx.doi.org/10.1575/1912/27012.

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The Northwest Tropical Atlantic Station (NTAS) was established to address the need for accurate air-sea flux estimates and upper ocean measurements in a region with strong sea surface temperature anomalies and the likelihood of significant local air–sea interaction on interannual to decadal timescales. The approach is to maintain a surface mooring outfitted for meteorological and oceanographic measurements at a site near 15°N, 51°W by successive mooring turnarounds. These observations will be used to investigate air–sea interaction processes related to climate variability. This report documents recovery of the NTAS-18 mooring and deployment of the NTAS-19 mooring at the same site. Both moorings used Surlyn foam buoys as the surface element. These buoys were outfitted with two Air–Sea Interaction Meteorology (ASIMET) systems. Each system measures, records, and transmits via Argos satellite the surface meteorological variables necessary to compute air–sea fluxes of heat, moisture and momentum. The upper 160 m of the mooring line were outfitted with oceanographic sensors for the measurement of temperature, salinity and velocity. Deep ocean temperature and salinity are measured at approximately 38 m above the bottom. The mooring turnaround was done on the National Oceanic and Atmospheric Administration (NOAA) Ship Ronald H. Brown, Cruise RB-20-06, by the Upper Ocean Processes Group of the Woods Hole Oceanographic Institution. The cruise took place between 14 October and 1 November 2020. The NTAS-19 mooring was deployed on 22 October, with an anchor position of about 14° 49.48° N, 51° 00.96° W in 4985 m of water. A 31-hour intercomparison period followed, during which satellite telemetry data from the NTAS-19 buoy and the ship’s meteorological sensors were monitored. The NTAS-18 buoy, which had gone adrift on 28 April 2020, was recovered on 20 October near 13° 41.96° N, 58° 38.67° W. This report describes these operations, as well as other work done on the cruise and some of the pre-cruise buoy preparations.
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Comparison of conventional onsite recorders and satellite telemetry for surface-water data collection by the US Geological Survey. US Geological Survey, 1992. http://dx.doi.org/10.3133/wri924060.

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