Adaptive Array Antenna in Ground Station Control System for Massive LEO CubeSat Constellation Tracking
(*) Corresponding author
Since Low Earth Orbit has become a popular orbit to place satellites, CubeSat constellation tracking is challenging. The higher capacity and capability of a new Ground Station tracking system are in demand and this motivates researchers to come out with a solution to mitigate the traditional Ground Station degradation performance. This paper discusses the implementation of the Least Mean Square algorithm to the Adaptive Array Antenna for the Ground Station tracking system application. The simulation results show the main beam pattern’s capability to perform instantaneous tracking and steering towards the targeted CubeSat while suppressing the side lobes towards the other interfering CubeSats when massive CubeSats constellations take place. Planar and circular array antennas are analyzed by setting the optimum weighting factors to be adapted. Three scenarios of CubeSats constellations are simulated. The Adaptive Array Antenna’s performance for each scenario is analyzed based on the beam width characteristics and the Signal-to-Interference Ratio of the beam pattern. The number of CubeSats tracked by the Adaptive Array Antenna and the system’s capability to perform fast tracking as the number of antenna array elements is also discussed in this paper. Finally, solutions to mitigate the Least Mean Square algorithm’s limitation to perform fast tracking when massive interferer CubeSats are nearby are proposed.
Copyright © 2021 Praise Worthy Prize - All rights reserved.
K. Dredge, M. V. Arx and I. Timmins, LEO Constellations and Tracking Challenges, Satellite Evolution Group Article, (2017), 36-38.
A. Zaidi, F. Athley, J. Medbo, U. Gustavsson, G. Durisi and X. Chen. In 5G Physical Layer: Principles, Models and Technology Components. Chapter 7 – Multiantenna Techniques. (Academic Press, United Kingdom, 2018, pp. 199-252).
B. Widrow, Y. Kim, D. Park, and J. K. Perin. Nature's Learning Rule: The Hebbian-LMS Algorithm. In Artificial Intelligence in the Age of Neural Networks and Brain Computing. (Academic Press, United Kingdom, 2019, pp. 1-30).
Q. Shu, J. Zhang, and F. Xu, (2020). Set-Membership LMS Adaptive Algorithms based on an Error-Estimation Time-Varying Bound Method. Circuits, Systems, and Signal Processing, Circuits, vol. 39 (2020), 3711–3736.
S. R. Prasad and B. B. Godbole, Optimization of LMS Algorithm for System Identification. arXiv preprint arXiv:1706.00897, (2017).
S. Samal and H. K. Sahoo and M. Sahoo, Realization of Adaptive Beamformer for Angle of Arrival Estimation using FPGA and Xilinx System Generator. Proc. of 2020 IEEE Calcutta Conference (CALCON) in IEEE. pp.25-29 (Feb. 28, 2020).
W. Shi, Y. Li, L. Zhao and X. Liu, Controllable Sparse Antenna Array for Adaptive Beamforming, In IEEE Access, 2019, vol. 7, pp. 6412-6423.
M. M. Ismail, B. S. Bashar, B. Q. Elias and V. V. Pyliavskyi, Study and Analysis of an Adaptive Beamforming for Smart Antenna using LMS Algorithm. Telecommunications and Radio Engineering, (2020), 79(5), 399-411.
V. P. Kodgirwar, S. Deosarkar and K. Joshi, Design of Adaptive Array with E-Shape Slot Radiator for Smart Antenna System. Progress in Electromagnetics Research, 90 (2020), 137-146.
Q. Niu and T. Chen, A New Variable Step Size LMS Adaptive Algorithm. 2018 Chinese Control and Decision Conference (CCDC) in IEEE, (2018), pp. 1-4.
C.A. Balanis, Antenna Theory: Analysis and Design, fourth ed. (John Wiley and Sons, Inc., Canada, 2016, pp. 931–980).
https://www.space-track.org/#tle (accessed in May 14, 2019).
E. Guan Chai, Development of analog phased array antenna for real-time location system, Ph.D. dissertation, Dept. of Electronics, Graduate School of Information Science and Elect. Eng., Kyushu Univ., Fukuoka, JAPAN, 2018.
K. Vivek Raj, S. Ranjitha, V. Meghana and H. Preethi, Satellite Tracking Using 7X7Hexagonal Phased Array Antenna, 2019 4th International Conference on Recent Trends on Electronics, Information, Communication & Technology (RTEICT), Bangalore, India, (2019), pp. 369-374.
S. Alio and L. Kudsi, Adaptive Array Antennas for Mobile Earth Stations: A Review, Information Science Letters an International Journal, Inf. Sci. Lett., (2017), 6(1), 29-32.
B. P. Kumar, C. Kumar, V. S. Kumar and V. V. Srinivasan, Active Spherical Phased Array Design for Satellite Payload Data Transmission, IEEE Transactions on Antennas and Propagation, 63(11) (2015), 4783-4791.
N. Kaya and J. Mankins, New Receiving Ground Antenna using Active Phased Array Antenna for Satellites, International Astronautical Congress (IAC), Guadalajara, Mexico, (2016).
L. T. Ong, Adaptive Beamforming Algorithms for Cancellation of Multiple Interference Signals. Progress in Electromagnetics Research 43 (2015), 109-118.
V. S. S. S. Vedula, S. R. Paladuga and Prithvi, Synthesis of Circular Array Antenna for Sidelobe Level and Aperture Size Control using Flower Pollination Algorithm, Int. Journal of Antennas and Propagation in Hindawi Publishing Corporation 2015(819712) (2015), 1687-5869.
N. BniLam, J. Steckel and M. Weyn, Synchronization of Multiple Independent Sub-Array Antennas for IoT Applications, 12th European Conference on Antennas and Propagation (EuCAP 2018) in The Inst. of Eng. and Tech. (IET), 125, 5 (2018).
V. P. Kodgirwar, S. B. Deosarkar, K. R. Joshi and A. J. Vyavahare, Adaptive Array Design using Least Mean Square Algorithm, Int. Journal of Recent Technology and Engineering (IJRTE) in Blue Eyes Intelligence Engineering and Science Publication 8(5) (2020), 1017-1021.
A. Winterstein and L. A. Greda, An Adaptive Calibration and Beamforming Technique for a GEO Satellite Data Relay. International Journal of Satellite Communications and Networking, 36(2) (2018), 207-219.
F. Davoli, C. Kourogiorgas, M. Marchese, A. Panagopoulos and F. Patrone, Small satellites and CubeSats: Survey of Structures, Architectures, and Protocols. International Journal of Satellite Communications and Networking, 37(4) (2019), 343-359.
A. Iturri-Hinojosa, C. G. León-Vega and M. Bdaoui, Microstrip Patch Antenna Array with LMS Adaptive Algorithm for 2.4 GHz Wireless Communication Systems, Proceedings of the 63rd Annual Meeting of the ISSS - 2019 Corvallis, OR, USA, 63(1) (2020), 1-9.
Z. Qu, G. Zhang, H. Cao and J. Xie, LEO Satellite Constellation for Internet of Things. IEEE Access, 5 (2017), 18391-18401.
Y. Su, Y. Liu, Y. Zhou, J. Yuan, H. Cao and J. Shi, Broadband LEO Satellite Communications: Architectures and Key Technologies. In IEEE Wireless Communications, 26(2) (2019), 55-61.
E. L. Cross and S. C. Finney, Methods and Systems of Adaptive Antenna Pointing for Mitigating Interference with a Nearby Satellite. In ViaSat Inc., U.S. Patent 10,277,308, (2019).
L. Garg, A. Kand, M. Pradhan and A. Agarwal, Automated Ground Station Design for an Amateur LEO Satellite System, In 2019 IEEE Aerospace Conference, Big Sky, MT, USA, (2019), pp. 1-8.
https://www.microwave-link.com/microwave/mean-square-error-mse-microwave-links/ (accessed in January 16, 2018).
I. D. Portillo, B. G. Cameron and E. F. Crawley, A Technical Comparison of Three Low Earth Orbit Satellite Constellation Systems to Provide Global Broadband. Acta Astronautica, 159 (2019), 123-135.
- There are currently no refbacks.
Please send any question about this web site to firstname.lastname@example.org
Copyright © 2005-2023 Praise Worthy Prize