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Journal articles on the topic 'Satellite tracking'

Author: Grafiati

Published: 4 June 2021

Last updated: 21 February 2023

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1

Salat, Junaidi, Cut Lilis Setiawati, and Zikrul Khalid. "Ku-Band Low Noise Block Converter (LNB) Sync Application Design Using Android Based Solid Dish." Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences 4, no. 1 (February 10, 2021): 1135–50. http://dx.doi.org/10.33258/birci.v4i1.1725.

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Mobile phone users, especially the Android version of the smartphone, are increasingly spoiling their users. It is undeniable that users do not know their age, even many children have an Android version of the smartphone to play with. Meanwhile, in the satellite tracking world, the satellite tracking is still using TV when tracking the satellite so that it feels difficult. ApplicationLow Noise Block Converter is a video view application from a receiver to an Android smartphone that was built to make it easier for tracking satellites to track one of the satellites that you want to lock. This application also includes satellite tracking information facilities such as tracking guides, frequency updates, and satellite location. ApplicationLow Noise Block Converterbuilt with the Android Studio application using the Java programming language. With the creation of the applicationLow Noise Block Converter seas a new alternative to replace TV as a satellite tracking device or monitoring tool.

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2

Cui, Jun Xia, Hu Li Shi, Chang Lv, and Rui Zhu He. "SIGSO Satellite Tracking Characteristics of Large-Diameter Parabolic Antenna." Applied Mechanics and Materials 365-366 (August 2013): 1328–31. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.1328.

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SIGSO satellite is a special kind of geosynchronous orbit communications satellites. Its orbit height is the same as geostationary orbit, but its inclination varies periodically and annually, with variation in the range of 0 ° to 15 °. When communication master station uses large-diameter antenna tracking SIGSO satellites, only a fraction of 1 degree of the antenna beam width is relatively small along with its inclination becomes bigger. Then which kind of tracking mode should be selected to keep precisely pointing to the SIGSO satellite becomes a very important issue. This paper takes Apstar-1 satellite as an example to analyze SIGSO satellites motion characteristics. Pros and cons of a 16-meter antenna with Truss-step tracking Apstar-1 satellite were studied and actual measurement was carried out in Beijing. Finally, mono-pulse tracking and turntable antenna mount is recommended which lays a good foundation for the system optimization design.

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3

Prasad, S. N., S. Pal, and S. G. Basu. "Satellite Tracking Systems." IETE Journal of Education 36, no. 2-3 (April 1995): 67–84. http://dx.doi.org/10.1080/09747338.1995.11415618.

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4

Carson-Jackson, J. "Satellite AIS – Developing Technology or Existing Capability?" Journal of Navigation 65, no. 2 (March 12, 2012): 303–21. http://dx.doi.org/10.1017/s037346331100066x.

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The Automatic Identification System (AIS) is an integral element in vessel tracking. But what about ‘Satellite AIS’? Is Satellite AIS a viable, current and effective tool to assist in vessel tracking? This paper will present the basic premise of reception of AIS by Low Earth Orbit (LEO) satellites. It will identify the technical aspects, present practical applications of Satellite AIS and look at implications for global tracking of vessels.

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5

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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6

Zhang, Zhaoxiang, Chenghang Wang, Jianing Song, and Yuelei Xu. "Object Tracking Based on Satellite Videos: A Literature Review." Remote Sensing 14, no. 15 (July 31, 2022): 3674. http://dx.doi.org/10.3390/rs14153674.

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Video satellites have recently become an attractive method of Earth observation, providing consecutive images of the Earth’s surface for continuous monitoring of specific events. The development of on-board optical and communication systems has enabled the various applications of satellite image sequences. However, satellite video-based target tracking is a challenging research topic in remote sensing due to its relatively low spatial and temporal resolution. Thus, this survey systematically investigates current satellite video-based tracking approaches and benchmark datasets, focusing on five typical tracking applications: traffic target tracking, ship tracking, typhoon tracking, fire tracking, and ice motion tracking. The essential aspects of each tracking target are summarized, such as the tracking architecture, the fundamental characteristics, primary motivations, and contributions. Furthermore, popular visual tracking benchmarks and their respective properties are discussed. Finally, a revised multi-level dataset based on wpafb videos is generated and quantitatively evaluated for future development in the satellite video-based tracking area. In addition, 54.3% of the tracklets with lower ds are selected and renamed as the Easy group, while 27.2% and 18.5% of the tracklets are grouped into the Medium-ds group and the Hard-ds group, respectively.

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7

French, John. "Tracking animals by satellite." Electronics and Power 32, no. 5 (1986): 373. http://dx.doi.org/10.1049/ep.1986.0219.

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8

Barnes, W. G. "Tracking animals by satellite." Electronics and Power 32, no. 7 (1986): 508. http://dx.doi.org/10.1049/ep.1986.0293.

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9

He, Wang, Liu, Song, Zhou, Wang, Gao, et al. "Shipborne Acquisition, Tracking, and Pointing Experimental Verifications Towards Satellite-to-Sea Laser Communication." Applied Sciences 9, no. 18 (September 19, 2019): 3940. http://dx.doi.org/10.3390/app9183940.

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Acquisition, tracking, and pointing (ATP) is a key technology in free space laser communication that has a characteristically high precision. In this paper, we report the acquisition and tracking of low-Earth-orbit satellites using shipborne ATP and verify the feasibility of establishing optical links between laser communication satellites and ships in the future. In particular, we developed a shipborne ATP system for satellite-to-sea applications in laser communications. We also designed an acquisition strategy for satellite-to-sea laser communication. In addition, a method was proposed for improving shipborne ATP pointing error. We tracked some stars at sea, achieving a pointing accuracy of less than 180μrad.We then acquired and tracked some low-Earth-orbit satellites at sea, achieving a tracking accuracy of about 20μrad. The results achieved in this work experimentally demonstrate the feasibility of ATP in satellite-to-sea laser communications.

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10

LI, Yuheng, Jun ZHENG, and Kechu YI. "On a Tracking and Data Relay Satellite (TDRS) Tracking a Lunar satellite." Chinese Journal of Space Science 27, no. 3 (2007): 227. http://dx.doi.org/10.11728/cjss2007.03.227.

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11

Zhou, Fansen, Yidi Wang, Wei Zheng, Zhao Li, and Xin Wen. "Fast Distributed Multiple-Model Nonlinearity Estimation for Tracking the Non-Cooperative Highly Maneuvering Target." Remote Sensing 14, no. 17 (August 28, 2022): 4239. http://dx.doi.org/10.3390/rs14174239.

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The newly developed near-space vehicle has the characteristics of high speed and strong maneuverability, being able to perform vertical skips and a wide range of lateral maneuvers. Tracking this kind of target with ground-based radars is difficult because of the limited detection range caused by the curvature of the Earth. Compared with ground-based radars, satellite tracking platforms equipped with Synthetic Aperture Radars (SARs) have a wide detection range, and can keep the targets in custody, making them a promising approach to tracking near-space vehicles continuously. However, this approach may not work well, due to the unknown maneuvers of the non-cooperative target, and the limited computing power of the satellites. To enhance tracking stability and accuracy, and to lower the computational burden, we have proposed a Fast Distributed Multiple-Model (FDMM) nonlinearity estimation algorithm for satellites, which adopts a novel distributed multiple-model fusion framework. This approach first requires each satellite to perform local filtering based on its own single model, and the corresponding fusion factor derived by the Wasserstein distance is solved for each local estimate; then, after diffusing the local estimates, each satellite performs multiple-model fusion on the received estimates, based on the minimum weighted Kullback–Leibler divergence; finally, each satellite updates its state estimation according to the consensus protocol. Two simulation experiments revealed that the proposed FDMM algorithm outperformed the other four tracking algorithms: the consensus-based distributed multiple-model UKF; the improved consensus-based distributed multiple-model STUKF; the consensus-based strong-tracking adaptive CKF; and the interactive multiple-model adaptive UKF; the FDMM algorithm had high tracking precision and low computational complexity, showing its effectiveness for satellites tracking the near-space target.

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12

Хмелев, А. В., А. В. Дуплинский, В. Ф. Майборода, Р. М. Бахшалиев, М. Ю. Баланов, В. Л. Курочкин, and Ю. В. Курочкин. "Регистрация однофотонного сигнала от низколетящих спутников для целей спутникового квантового распределения ключей." Письма в журнал технической физики 47, no. 17 (2021): 46. http://dx.doi.org/10.21883/pjtf.2021.17.51387.18817.

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A ground-based receiving station for quantum key distribution with a satellite, capable of analyzing the quantum polarization states of photons, is demonstrated. In the experiment on tracking a low-Earth orbit satellite, the residual tracking error by the ground station does not exceed 10 μrad, which ensures stable reception of the optical signal in four channels of the polarization state decoder. An estimation of the efficiency of registration of an optical signal in the mode of tracking satellites is carried out.

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13

Yang, Zhixin, Hui Liu, Chuang Qian, Bao Shu, Linjie Zhang, Xintong Xu, Yi Zhang, and Yidong Lou. "Real-Time Estimation of Low Earth Orbit (LEO) Satellite Clock Based on Ground Tracking Stations." Remote Sensing 12, no. 12 (June 25, 2020): 2050. http://dx.doi.org/10.3390/rs12122050.

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The rapid movement of low Earth orbit (LEO) satellite can improve geometric diversity, which contributes to the rapid convergence of Global Navigation Satellite System (GNSS) precise point positioning (PPP). However, the LEO onboard receiver clock cannot be used directly by PPP users as the LEO satellite clock because the LEO onboard receiver clock and LEO satellite clock absorb different code delays when receiving and transmitting signals. In this study, a real-time estimation approach for the LEO satellite clock based on ground tracking stations was proposed for the first time. The feasibility for the rapid convergence of the LEO satellite clock was analyzed using the satellite time dilution of precision (TDOP) that one satellite is relative to multiple ground tracking stations. The LEO constellation of 168 satellites and observations for 15 ground tracking stations were simulated to verify the proposed method. The experiment results showed that the average convergence time was 31.21 min for the Global Positioning System (GPS) satellite clock, whereas the value for the LEO satellite clock was only 2.86 min. The average root mean square (RMS) and standard deviation (STD) values after convergence were 0.71 and 0.39 ns for the LEO satellite clock, whereas the values were 0.31 and 0.13 ns for the GPS satellite clock. The average weekly satellite TDOP for the LEO satellite was much smaller than that for the GPS satellite. The average satellite TDOPs for all LEO and GPS satellites were 19.13 and 1294.70, respectively. However, the average delta TDOPs caused by satellite motion for all LEO and GPS satellites were both 0.10. Therefore, the rapid convergence of the LEO satellite clock resulted from the better geometric distribution of the LEO satellite relative to ground stations. Despite errors and the convergence time of the LEO satellite clock, the convergence time and positioning accuracy for LEO-augmented GPS and BeiDou Navigation Satellite System (BDS) PPP with the real-time estimated LEO satellite clock can still reach 10.63 min, 1.94 cm, 1.44 cm, and 4.18 cm in the east, north, and up components, respectively. The improvements caused by LEO satellite for GPS/BDS PPP were 59%, 30%, 31%, and 33%, respectively.

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14

CROITORU, Emilian-Ionuţ, and Gheorghe OANCEA. "SATELLITE TRACKING USING NORAD TWO-LINE ELEMENT SET FORMAT." SCIENTIFIC RESEARCH AND EDUCATION IN THE AIR FORCE 18, no. 1 (June 24, 2016): 423–32. http://dx.doi.org/10.19062/2247-3173.2016.18.1.58.

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15

Liu, Yaosheng, Yurong Liao, Cunbao Lin, Yutong Jia, Zhaoming Li, and Xinyan Yang. "Object Tracking in Satellite Videos Based on Correlation Filter with Multi-Feature Fusion and Motion Trajectory Compensation." Remote Sensing 14, no. 3 (February 7, 2022): 777. http://dx.doi.org/10.3390/rs14030777.

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As a new type of earth observation satellite approach, video satellites can continuously monitor an area of the Earth and acquire dynamic and abundant information by utilizing video imaging. Hence, video satellites can afford to track various objects of interest on the Earth's surface. Inspired by the capabilities of video satellites, this paper presents a novel method to track fast-moving objects in satellite videos based on the kernelized correlation filter (KCF) embedded with multi-feature fusion and motion trajectory compensation. The contributions of the suggested algorithm are multifold. First, a multi-feature fusion strategy is proposed to describe an object comprehensively, which is challenging for the single-feature approach. Second, a subpixel positioning method is developed to calculate the object’s position and overcome the poor tracking accuracy difficulties caused by inaccurate object localization. Third, introducing an adaptive Kalman filter (AKF) enables compensation and correction of the KCF tracker results and reduces the object’s bounding box drift, solving the moving object occlusion problem. Based on the correlation filtering tracking framework, combined with the above improvement strategies, our algorithm improves the tracking accuracy by at least 17% on average and the success rate by at least 18% on average compared to the KCF algorithm. Hence, our method effectively solves poor object tracking accuracy caused by complex backgrounds and object occlusion. The experimental results utilize satellite videos from the Jilin-1 satellite constellation and highlight the proposed algorithm's appealing tracking results against current state-of-the-art trackers regarding success rate, precision, and robustness metrics.

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16

Liu, Ying-Chun, and Lin Liu. "Orbit Determination Using Satellite-to-Satellite Tracking Data." Chinese Journal of Astronomy and Astrophysics 1, no. 3 (June 2001): 281–86. http://dx.doi.org/10.1088/1009-9271/1/3/281.

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17

Bloßfeld, Mathis, Julian Zeitlhöfler, Sergei Rudenko, and Denise Dettmering. "Observation-Based Attitude Realization for Accurate Jason Satellite Orbits and Its Impact on Geodetic and Altimetry Results." Remote Sensing 12, no. 4 (February 19, 2020): 682. http://dx.doi.org/10.3390/rs12040682.

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For low Earth orbiting satellites, non-gravitational forces cause one of the largest perturbing accelerations. During a precise orbit determination (POD), the accurate modeling of the satellite-body attitude and solar panel orientation is important since the satellite’s effective cross-sectional area is directly related to the perturbing acceleration. Moreover, the position of tracking instruments that are mounted on the satellite body are affected by the satellite attitude. For satellites like Jason-1/-2/-3, attitude information is available in two forms—as a so-called nominal yaw steering model and as observation-based (measured by star tracking cameras) quaternions of the spacecraft body orientation and rotation angles of the solar arrays. In this study, we have developed a preprocessing procedure for publicly available satellite attitude information. We computed orbits based on Satellite Laser Ranging (SLR) observations to the Jason satellites at an overall time interval of approximately 25 years, using each of the two satellite attitude representations. Based on the analysis of the orbits, we investigate the influence of using preprocessed observation-based attitude in contrast to using a nominal yaw steering model for the POD. About 75% of all orbital arcs calculated with the observation-based satellite attitude data result in a smaller root mean square (RMS) of residuals. More precisely, the resulting orbits show an improvement in the overall mission RMS of SLR observation residuals of 5.93% (Jason-1), 8.27% (Jason-2) and 4.51% (Jason-3) compared to the nominal attitude realization. Besides the satellite orbits, also the estimated station coordinates benefit from the refined attitude handling, that is, the station repeatability is clearly improved at the draconitic period. Moreover, altimetry analysis indicates a clear improvement of the single-satellite crossover differences (6%, 15%, and 16% reduction of the mean of absolute differences and 1.2%, 2.7%, and 1.3% of their standard deviations for Jason-1/-2/-3, respectively). On request, the preprocessed attitude data are available.

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18

Skirmante, K., N. Jekabsons, K. Salmins, V. Bezrukovs, and M. Nechaeva. "The Joint SLR (Optical Range) and Radar-VLBI Satellite Observations using VIRAC Radio Telescope RT32, RT16 and SLR Station Riga." Latvian Journal of Physics and Technical Sciences 57, no. 1-2 (April 1, 2020): 62–70. http://dx.doi.org/10.2478/lpts-2020-0008.

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AbstractJoint VLBI and SLR satellite tracking is a novel tracking approach to explore potential applications and to work out common procedures to coordinate observations between astronomical observatories in Latvia. Global Navigation Satellite System (GNSS) satellites equipped with laser retroreflectors have been chosen as test targets because they are accessible by both measuring techniques – satellite laser ranging (SLR) and Very Long Base Interferometry (VLBI).The first Joint SLR and VLBI observations of selected GNSS satellites using three of Latvian large-scale astronomical utilities – VIRAC radio telescopes RT32 and RT16 (Ventspils International Radio Astronomy Centre of Ventspils University of Applied Sciences) with L band receivers and SLR station Riga (Institute of Astronomy of University of Latvia) were obtained in 2016 (NKA16) and 2017 (NKA41 and NKA42).

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19

Kim, Gwang Tae, Gyuhan Cho, and Sihun Jo. "Hybrid Tracking Method Combined with Step Tracking and Monopulse Tracking for Improving Satellite Tracking Performance of Mobile Satellite Antenna System." Journal of the Korean Society for Precision Engineering 34, no. 11 (November 1, 2017): 745–53. http://dx.doi.org/10.7736/kspe.2017.34.11.745.

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20

Qi, Lihua, Dongqiu Xing, Rui Wang, and Jingna Cui. "Research on the operational regional coverage of satellite and spacecraft tracking and controlling." MATEC Web of Conferences 309 (2020): 01005. http://dx.doi.org/10.1051/matecconf/202030901005.

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In view of the problem of building ground stations for tracking and controlling of satellites and spacecraft, considering the fixed angle between the orbit of the satellite or spacecraft and the equatorial surface of the earth, and the difference of longitude between the two circles in succession of the satellite or spacecraft caused by the rotation of the earth, the operation area of the satellite or spacecraft was calculated by using the method of spherical projection of satellite orbit rotation, taking the earth as the reference system. The minimum number of ground stations needed for satellite tracking and controlling was calculated in three cases, by using the mathematical model of sphere ring area and honeycomb coverage. This model was validated by the launch and operation data of Shenzhou 7.

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21

Jouventin, Pierre, and Henri Weimerskirch. "Satellite tracking of Wandering albatrosses." Nature 343, no. 6260 (February 1990): 746–48. http://dx.doi.org/10.1038/343746a0.

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22

Hawkins, G. J., D. J. Edwards, and J. P. McGeehan. "Tracking systems for satellite communications." IEE Proceedings F Communications, Radar and Signal Processing 135, no. 5 (1988): 393. http://dx.doi.org/10.1049/ip-f-1.1988.0047.

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23

Fakoor, M., F. Amozegary, M. Bakhtiari, and K. Daneshjou. "Relative tracking control of constellation satellites considering inter-satellite link." Advances in Space Research 60, no. 9 (November 2017): 2021–46. http://dx.doi.org/10.1016/j.asr.2017.07.012.

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24

Chen, Shaohua, and Yang Gao. "Improvement of Carrier Phase Tracking Based on a Joint Vector Architecture." International Journal of Aerospace Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/9682875.

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Carrier phase measurements are essential to high precision positioning. Usually, the carrier phase measurements are generated from the phase lock loop in a conventional Global Navigation Satellite System (GNSS) receiver. However there is a dilemma problem to the design of the loop parameters in a conventional tracking loop. To address this problem and improve the carrier phase tracking sensitivity, a carrier phase tracking method based on a joint vector architecture is proposed. The joint vector architecture contains a common loop based on extended Kalman filter to track the common dynamics of the different channels and the individual loops for each channel to track the satellite specific dynamics. The transfer function model of the proposed architecture is derived. The proposed method and the conventional scalar carrier phase tracking are tested with a high quality simulator. The test results indicate that carrier phase measurements of satellites start to show cycle slips using the proposed method when carrier noise ratio is equal to and below 15 dB-Hz instead of 21 dB-Hz with using the conventional phase tracking loop. Since the joint vector based tracking loops jointly process the signals of all available satellites, the potential interchannel influence between different satellites is also investigated.

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25

Liu, G., and L. Wang. "JOINT TRACKING GPS AND LEO SIGNALS WITH ADAPTIVE VECTOR TRACKING LOOP IN CHALLENGING ENVIRONMENTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-3/W1-2022 (April 22, 2022): 119–24. http://dx.doi.org/10.5194/isprs-archives-xlvi-3-w1-2022-119-2022.

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Abstract. Navigation from LEO satellites own many merits and attracts increasing popularity recently. In addition to increasing the signal availability, the low signal strength loss and fast satellite geometry change from LEO satellite are particularly appealing in challenging environments. Recently, a few researchers attempt to navigate with non-cooperative signals from LEO satellites with pure phase lock loop (PLL) or frequency lock loop (FLL), while a more practical solution to utilizing LEO navigation is joint positioning with the existing GNSS signals which has not been seriously studied. In this study, we proposed a joint GPS and LEO navigation signal tracking strategy that employs a vector tracking loop (VTL) with fully considering the high dynamic characteristics of the LEO signals. In order to solve the high dynamics problem, the second-order deviation parameters were considered in the extended Kalman filter, which is more adaptive to the non-linear variation of the signal acceleration. In addition, a carrier-to-noise ratio (C/N0) based observation noise determination strategy is employed to adapt different observation conditions. The proposed method was verified with different simulation data and the results indicate the adaptive vector tracking loop is capable of tracking GPS and LEO signals simultaneously and robustly. The benefit is particularly in the weak signal scenarios. The experiment results also reveal that the joint vector tracking loop improves positioning accuracy in GNSS challenging environments.

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26

Hill, Keric, and George H. Born. "Autonomous Interplanetary Orbit Determination Using Satellite-to-Satellite Tracking." Journal of Guidance, Control, and Dynamics 30, no. 3 (May 2007): 679–86. http://dx.doi.org/10.2514/1.24574.

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27

Wiejak, W., E. J. O. Schrama, and R. Rummel. "Spectral representation of the satellite-to-satellite tracking observables." Advances in Space Research 11, no. 6 (January 1991): 197–224. http://dx.doi.org/10.1016/0273-1177(91)90254-h.

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28

Floberghagen, R., R. Noomen, P. N. A. M. Visser, and G. D. Racca. "Global lunar gravity recovery from satellite-to-satellite tracking." Planetary and Space Science 44, no. 10 (October 1996): 1081–97. http://dx.doi.org/10.1016/0032-0633(95)00152-2.

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29

McDonald, James, and Ian M. Whillans. "Comparison of Results From Transit Satellite Tracking." Annals of Glaciology 11 (1988): 83–88. http://dx.doi.org/10.3189/s0260305500006376.

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Large-scale motions and strain-rates over great distances on polar ice sheets are often obtained from the tracking of Transit (or doppler) satellites. The results of different processing techniques for these tracking data are compared, using some of the data collected on and near Ice Stream C. Reduction is made by using the software packages CALIPER, GEODOP V, MAGNET, and the micro-processor on the Magnavox MX 1502 satellite receiver. The orbital data broadcast by the satellites are used, as well as more precise orbits obtained afterward. In addition, calculations are made for single sites individually (point positioning) and for many sites with simultaneous tracking data (network adjustment).The results agree within the range of known errors associated with the orbits. Earth-based positions (latitude, longitude, ellipsoidal height), based on the broadcast orbits, agree to within 41.1 m. Positions with more precise orbits are within 0.7 m of one another. Relative positions are best obtained by using network techniques, and these agree with terrestrial survey results within 0.2 m in horizontal separation for sites 19 km apart, and are within 4.8 m in elevation difference. The calculated azimuth differs by 1.5 m/19 km or 10−4 rad.

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30

McDonald, James, and Ian M. Whillans. "Comparison of Results From Transit Satellite Tracking." Annals of Glaciology 11 (1988): 83–88. http://dx.doi.org/10.1017/s0260305500006376.

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Large-scale motions and strain-rates over great distances on polar ice sheets are often obtained from the tracking of Transit (or doppler) satellites. The results of different processing techniques for these tracking data are compared, using some of the data collected on and near Ice Stream C. Reduction is made by using the software packages CALIPER, GEODOP V, MAGNET, and the micro-processor on the Magnavox MX 1502 satellite receiver. The orbital data broadcast by the satellites are used, as well as more precise orbits obtained afterward. In addition, calculations are made for single sites individually (point positioning) and for many sites with simultaneous tracking data (network adjustment). The results agree within the range of known errors associated with the orbits. Earth-based positions (latitude, longitude, ellipsoidal height), based on the broadcast orbits, agree to within 41.1 m. Positions with more precise orbits are within 0.7 m of one another. Relative positions are best obtained by using network techniques, and these agree with terrestrial survey results within 0.2 m in horizontal separation for sites 19 km apart, and are within 4.8 m in elevation difference. The calculated azimuth differs by 1.5 m/19 km or 10−4 rad.

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31

Wu, Di, Haibo Song, and Caizhi Fan. "Object Tracking in Satellite Videos Based on Improved Kernel Correlation Filter Assisted by Road Information." Remote Sensing 14, no. 17 (August 26, 2022): 4215. http://dx.doi.org/10.3390/rs14174215.

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Video satellites can stare at target areas on the Earth’s surface to obtain high-temporal-resolution remote sensing videos, which make it possible to track objects in satellite videos. However, it should be noted that the object size in satellite videos is usually small and has less textural property, and the moving objects in satellite videos are easily occluded, which puts forward higher requirements for the tracker. In order to solve the above problems, consider that the remote sensing image contains rich road information, which can be used to constrain the trajectory of the object in a satellite video, this paper proposes an improved Kernel Correlation Filter (KCF) assisted by road information to track small objects, especially when the object is occluded. Specifically, the contributions of this paper are as follows: First, the tracking confidence module is reconstructed, which integrates the peak response and the average peak correlation energy of the response map to more accurately judge whether the object is occluded. Then, an adaptive Kalman filter is designed to adaptively adjust the parameters of the Kalman filter according to the motion state of the object, which improves the robustness of tracking and reduces the tracking drift after the object is occluded. Last but not least, an object tracking strategy assisted by road information is recommended, which searches for objects with road information as constraints, to locate objects more accurately. After the above improvements, compared with the KCF tracker, our method improves the tracking precision by 35.9% and the tracking success rate by 18.1% with the tracking rate at a speed of 300 frames per second, which meets the real-time requirements.

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32

Li, Chao Hai, Wen Xian Jiang, and Guo Long Wang. "The Research on Phantom-Bit Technology of Digital Phase Shifters for Satellite Tracking System of Phase Array." Applied Mechanics and Materials 644-650 (September 2014): 4555–58. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4555.

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Phased array satellite platform self-tracking system is for the stability between the missiles and other high-speed movement of the platform and the relay satellite two-way information transmission needs to carry out the self-tracking technology research of onboard platform-dimensional active phased array satellite. The system uses a sub-array correlation method for accurate measurement of the angle of the satellite signal. Receiving array is divided into four 4 * 4 sub-array, each antenna signal combining unit 4 sub array for 4-way A / D to be converted, through down-conversion, filtering, extraction and other processes to get a digital baseband signal, the baseband digital signal processing is to extract the angle error information into digital beam orientation system for tracking filtering operation, thereby ensuring that the transceiver has been aligned with the satellite antenna beam direction. In this paper ,phantom-bit technology for satellite tracking system under the condition of minimum beam displacement is researched for satellite tracking system.

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Bodhare, Hemant Gautam, and Asst Prof Gauri Ansurkar. "LEO based Satellite Navigation and Anti-Theft Tracking System for Automobiles." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 557–63. http://dx.doi.org/10.22214/ijraset.2022.41316.

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Abstract: GPS and Inertial Navigation Systems (INS) are used today in automobile navigation and tracking systems to locate themselves in Four Dimensions (latitude, longitude, altitude, time). However, GNSS or GPS still has its own bottleneck, such as the long initialization period of Precise Point Positioning (PPP) without dense reference network. For navigation, a number of selected LEO satellites can be equipped with a transmitter to transmit similar navigation signals to land users, so they can act like GNSS satellites but with much faster geometric change to enhance GNSS capability, which is named as LEO constellation enhanced GNSS (LeGNSS). This paper focuses on Low Earth Orbit navigation and anti-theft tracking system in automobiles that represents a framework which enables a navigating vehicle to aid its Inertial Navigation System when GNSS or GPS signal becomes unusable. Over the course of following years LEO satellite constellation will be available globally at ideal geometric locations. LEO Satellite aided Inertial navigation system with periodically transmitted satellite positions has the potential to achieve meter-level-accurate location. Keywords: LEO constellation, LEO enhanced GNSS (LeGNSS), Precise Point Positioning (PPP), Inertial Navigation System (INS), Precise Orbit Determination (POD)

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Jekeli, Christopher, and Triveni N. Upadhyay. "Gravity estimation from STAGE, a Satellite-to-Satellite Tracking Mission." Journal of Geophysical Research 95, B7 (1990): 10973. http://dx.doi.org/10.1029/jb095ib07p10973.

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Cheng, Yu, Cheng Wei, Yongshang Wei, Bindi You, and Yang Zhao. "Intention Prediction of a Hypersonic Glide Vehicle Using a Satellite Constellation Based on Deep Learning." Mathematics 10, no. 20 (October 12, 2022): 3754. http://dx.doi.org/10.3390/math10203754.

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Tracking of hypersonic glide vehicles (HGVs) by a constellation tracking and observation system is an important part of the space-based early warning system. The uncertainty in the maneuver intentions of HGVs has a non-negligible impact on the tracking and observation process. The cooperative scheduling of multiple satellites in an environment of uncertainty in the maneuver intentions of HGVs is the main problem researched in this paper. For this problem, a satellite constellation tracking decision method that considers the HGVs’ maneuver intentions is proposed. This method is based on building an HGV maneuver intention model, developing a maneuver intention recognition and prediction algorithm, and designing a sensor-switching strategy to improve the local consensus-based bundle algorithm (LCBBA). Firstly, a recognizable maneuver intention model that can describe the maneuver types and directions of the HGVs in both the longitudinal and lateral directions was designed. Secondly, a maneuver intention recognition and prediction algorithm based on parallel, stacked long short-term memory neural networks (PSLSTM) was developed to obtain maneuver directions of the HGV. On the basis of that, a satellite constellation tracking decision method (referred to as SS-LCBBA in the following) considering the HGVs’ maneuver intentions was designed. Finally, the maneuver intention prediction capability of the PSLSTM network and two currently popular network structures: the multilayer LSTM (M-LSTM) and the dual-channel and bidirectional neural network (DCBNN) were tested for comparison. The simulation results show that the PSLSTM can recognize and predict the maneuver directions of HGVs with high accuracy. In the simulation of a satellite constellation tracking HGVs, the SS-LCBBA improved the cumulative tracking score compared to the LCBBA, the blackboard algorithm (BM), and the variable-center contract network algorithm (ICNP). Thus, it is concluded that SS-LCBBA has better adaptability to environments with uncertain intentions in solving multi-satellite collaborative scheduling problems.

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Curtis, David H., and Richard G. Cobb. "Satellite Articulation Tracking Using Computer Vision." Journal of Spacecraft and Rockets 56, no. 5 (September 2019): 1478–91. http://dx.doi.org/10.2514/1.a34343.

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de Melo Queiroz, Kurios Iuri Pinheiro, Francisco das Chagas Mota, Jose Marcelo Lima Duarte, and Manoel Joseane Mafra de Carvalho. "CONTROL SYSTEM FOR SATELLITE TRACKING ANTENNA." IFAC Proceedings Volumes 40, no. 19 (2007): 159–64. http://dx.doi.org/10.3182/20071002-mx-4-3906.00027.

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SUN, Yun-da, Xue WAN, and Sheng-yang LI. "Siamese network based satellite component tracking." Optics and Precision Engineering 29, no. 12 (2021): 2915–23. http://dx.doi.org/10.37188/ope.20212912.2915.

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Stokes, David L., P. Dee Boersma, and Lloyd S. Davis. "Satellite Tracking of Magellanic Penguin Migration." Condor 100, no. 2 (May 1998): 376–81. http://dx.doi.org/10.2307/1370280.

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Hoots, Felix. "New Space-Based Satellite Tracking Capability." Journal of Guidance, Control, and Dynamics 23, no. 1 (January 2000): 147. http://dx.doi.org/10.2514/2.4501.

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Yeh, Hsi-Han, Eric Nelson, and Andrew Sparks. "Nonlinear Tracking Control for Satellite Formations." Journal of Guidance, Control, and Dynamics 25, no. 2 (March 2002): 376–86. http://dx.doi.org/10.2514/2.4892.

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PRIEDE, I. G., and J. FRENCH. "Tracking of marine animals by satellite." International Journal of Remote Sensing 12, no. 4 (April 1991): 667–80. http://dx.doi.org/10.1080/01431169108929684.

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Cognetti, G. "Satellite tracking methods for turtle protection." Marine Pollution Bulletin 32, no. 6 (June 1996): 452–53. http://dx.doi.org/10.1016/0025-326x(96)00052-5.

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Shakun, L. S., V. I. Marsakova, T. A. Golubovskaya, S. S. Terpan, S. M. Melikyants, and E. A. Korobeynikova. "LIGHT POLLUTION IN LEO-SATELLITE TRACKING." Odessa Astronomical Publications 28, no. 1 (June 3, 2015): 91–94. http://dx.doi.org/10.18524/1810-4215.2015.28.70401.

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Ristow, Dietrich, Peter Berthold, Dean Hashmi, and Ulrich Querner. "Satellite Tracking of Cory's Shearwater Migration." Condor 102, no. 3 (August 1, 2000): 696–99. http://dx.doi.org/10.1093/condor/102.3.696.

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Abstract Transmitters were attached to four adult male Cory's Shearwaters (Calonectris diomedea) caught at their breeding sites off Crete, Greece, in autumn 1998. The birds had left the Mediterranean by the beginning of December. Two were last recorded in the eastern tropical Atlantic in January/February. The other two wintered east of the Mid-Atlantic Ridge, one at about 10°N, the other one in equatorial waters, and could be tracked until return migration in March/April. The seasonal variation in travel speed is in accordance with a conventional pattern of migration with phases of migration and wintering, rather than continuous movement throughout the nonbreeding cycle. The birds left the Mediterranean later and wintered farther north than expected. We suggest that the known longitudinal cline in body size, morphology, and vocalizations of Cory's Shearwater may also be found in migration behavior.

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Nowak, E., P. Berthold, and U. Querner. "Satellite tracking of migrating Bewick's swans." Naturwissenschaften 77, no. 11 (November 1990): 549–50. http://dx.doi.org/10.1007/bf01139272.

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Liu, Yang, Jun Zhang, and Yanbo Zhu. "Weak Satellite Signal Tracking Loop Based on Traditional Tracking Framework." Wireless Personal Communications 70, no. 4 (October 19, 2012): 1761–75. http://dx.doi.org/10.1007/s11277-012-0779-z.

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Zhu, Kun, Xiaodong Zhang, Guanzhou Chen, Xiaoliang Tan, Puyun Liao, Hongyu Wu, Xiujuan Cui, Yinan Zuo, and Zhiyong Lv. "Single Object Tracking in Satellite Videos: Deep Siamese Network Incorporating an Interframe Difference Centroid Inertia Motion Model." Remote Sensing 13, no. 7 (March 29, 2021): 1298. http://dx.doi.org/10.3390/rs13071298.

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Satellite video single object tracking has attracted wide attention. The development of remote sensing platforms for earth observation technologies makes it increasingly convenient to acquire high-resolution satellite videos, which greatly accelerates ground target tracking. However, overlarge images with small object size, high similarity among multiple moving targets, and poor distinguishability between the objects and the background make this task most challenging. To solve these problems, a deep Siamese network (DSN) incorporating an interframe difference centroid inertia motion (ID-CIM) model is proposed in this paper. In object tracking tasks, the DSN inherently includes a template branch and a search branch; it extracts the features from these two branches and employs a Siamese region proposal network to obtain the position of the target in the search branch. The ID-CIM mechanism was proposed to alleviate model drift. These two modules build the ID-DSN framework and mutually reinforce the final tracking results. In addition, we also adopted existing object detection datasets for remotely sensed images to generate training datasets suitable for satellite video single object tracking. Ablation experiments were performed on six high-resolution satellite videos acquired from the International Space Station and “Jilin-1” satellites. We compared the proposed ID-DSN results with other 11 state-of-the-art trackers, including different networks and backbones. The comparison results show that our ID-DSN obtained a precision criterion of 0.927 and a success criterion of 0.694 with a frames per second (FPS) value of 32.117 implemented on a single NVIDIA GTX1070Ti GPU.

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Kochhar, Gopal. "GPS Satellite Advancements and its Future." Journal of Advanced Research in Instrumentation and Control Engineering 07, no. 01 (May 12, 2020): 1–4. http://dx.doi.org/10.24321/2456.1398.202001.

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This paper gives an brief introduction of global positioning system, its generations, the future and progressions that are attained by the GPS and tracking systems. The latest usage and the comparative study of the GPS satellites that are launched and are operational till date.

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Lei, Lei, and Dongen Guo. "Multitarget Detection and Tracking Method in Remote Sensing Satellite Video." Computational Intelligence and Neuroscience 2021 (August 31, 2021): 1–7. http://dx.doi.org/10.1155/2021/7381909.

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A remote sensing video satellite multiple object detection and tracking method based on road masking, Gaussian mixture model (GMM), and data association is proposed. This method first extracts the road network from the remote sensing video based on deep learning. In the detection stage, the background subtraction algorithm is used based on the GMM to obtain the detection results of the moving targets on the road. In the tracking stage, the data association of the same target detection result in adjacent frames is realized based on the neighborhood search algorithm, so as to obtain the continuous tracking trajectory of each target. The experiments about multiobject detection and tracking are conducted on data measure by real remote sensing satellites, and the results verified the feasibility of the proposed method.

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