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A high-precision and efficient algorithm for space-based ADS-B signal separation

Published online by Cambridge University Press:  16 June 2023

Yan Bi ,
Renbiao Wu  and
Qiongqiong Jia
Yan Bi
Affiliation:
School of Electrical and Information Engineering, Tianjin University, Tianjin, China Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
Renbiao Wu*
Affiliation:
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
Qiongqiong Jia
Affiliation:
Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin, China
*
Corresponding author: Renbiao Wu; Email: rbwu@cauc.edu.cn
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Abstract

Space-based automatic dependent surveillance-broadcast (ADS-B) receivers can cover thousands of aircraft, each transmitting 6 ⋅ 2 signals per second. As a result, ADS-B signals are very prone to overlap. When the number of aircraft covered by a receiver reaches 3,000, about 90 % of the signals will be overlapping. Overlapped signals can reduce the decoding accuracy of receivers, so that aircraft information cannot be accurately transmitted to the air traffic control (ATC) surveillance system, hence threatening aviation flight safety. It is necessary to propose signal separation algorithms for space-based ADS-B systems. An orthogonal projection linear constrained minimum variance (OPLCMV) algorithm is proposed, which can separate two signals simultaneously based on the linearly constrained minimum variance algorithm by exploiting the characteristics of overlapped signals. Compared with the state-of-the-art extended projection algorithm and the fast independent component analysis algorithm, the OPLCMV method has a higher decoding accuracy for multiple overlapping signals with a small direction difference of arrival or frequency shift. Moreover, the OPLCMV algorithm has a low computational complexity when the number of overlapped signal sources is less than seven.

Keywords

ADS-Bspace-based ADS-B systemarray antennasignal separation

Information

Type
Research Article
Information
The Journal of Navigation , Volume 76 , Issue 4-5 , July 2023 , pp. 562 - 576
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of The Royal Institute of Navigation

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References

Ali, B. S. (2016). System specifications for developing an automatic dependent surveillance-broadcast (ADS-B) monitoring system. International Journal of Critical Infrastructure Protection, 15, 40–46.CrossRefGoogle Scholar
Ali, B. S., Schuster, W. and Ochieng, W. Y. (2017). Evaluation of the capability of automatic dependent surveillance broadcast to meet the requirements of future airborne surveillance applications. Journal of Navigation, 70, 49–66.CrossRefGoogle Scholar
Baek, J., Hableel, E., Byon, Y. J., Wong, D. S., Jang, K. and Yeo, H. (2016). How to protect ADS-B: Confidentiality framework and efficient realization based on staged identity-based encryption. IEEE Transactions on Intelligent Transportation Systems, 18(3), 690–700.CrossRefGoogle Scholar
Baker, K. (2019). Space-Based ADS-B: Performance, Architecture and Market. Proceedings of the 2019 Integrated Communications, Navigation and Surveillance Conference, Herndon, VA.CrossRefGoogle Scholar
Bettray, A., Litschke, O. and Baggen, L. (2013). Multi-Beam Antenna for Space-Based ADS-B. Proceedings of the 2013 IEEE International Symposium on Phased Array Systems and Technology, Waltham, MA.CrossRefGoogle Scholar
Blomenhofer, H., Pawlitzki, A., Rosenthal, P. and Escudero, L. (2012). Space-Based Automatic Dependent Surveillance Broadcast (ADS-B) Payload for In-Orbit Demonstration. Proceedings of the 6th Advanced Satellite Multimedia Systems Conference and 12th Signal Processing for Space Communications Workshop, Vigo, Spain.CrossRefGoogle Scholar
Carandente, M. and Rinaldi, C. (2014). Aireon Surveillance of the Globe via Satellite. Proceedings of the 2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles, Rome, Italy.CrossRefGoogle Scholar
Chen, L., Yu, S., Chen, Q. and Zhao, Y. (2020). Data reception analysis of ADS-B on board the Tiantuo-3 satellite. Journal of Physics: Conference Series, 1438(1), 012030.Google Scholar
Galati, G., Petrochilos, N. and Piracci, E. G. (2015). Degarbling mode S replies received in single channel stations with a digital incremental improvement. IET Radar, Sonar and Navigation, 9(6), 681–691.CrossRefGoogle Scholar
Garcia, M. A., Dolan, J. and Hoag, A. (2017). Aireon's Initial On-Orbit Performance Analysis of Space-Based ADS-B. Proceedings of the 2017 Integrated Communications, Navigation and Surveillance Systems Conference, Herndon, VA.CrossRefGoogle Scholar
Garcia, M. A., Dolan, J., Haber, B., Hoag, A. and Diekelman, D. (2018). A Compilation of Measured ADS–B Performance Characteristics from Aireon's On-Orbit Test Program. Proceedings of the 2018 Enhanced Solutions for Aircraft and Vehicle Surveillance Applications Conference, Berlin, Germany.Google Scholar
Knudsen, B. G., Jensen, M., Birklykke, A., Koch, P., Christiansen, J., Laursen, K., Alminde, L. and Le Moullec, Y. (2014). ADS-B in Space: Decoder Implementation and First Results from the GATOSS Mission. Proceedings of the 14th Biennial Baltic Electronic Conference, Tallinn, Estonia.CrossRefGoogle Scholar
Liu, K., Zhang, T. and Ding, Y. (2016). Blind Signal Separation Algorithm for Space-Based ADS-B. Proceedings of the 2016 International Conference on Mechatronics Engineering and Information Technology, Xi'an, China.CrossRefGoogle Scholar
Liu, H. T., Wang, S. L., Qin, D. B. and Li, D. X. (2018). Performance analysis of surveillance capacity of satellite-based ADS-B receiver. Acta Aeronautica et Astronautica Sinica, 39(5), 321866. (In Chinese).Google Scholar
Lu, D. and Chen, T. (2019). Single-antenna overlapped ADS-B signal self-detection and separation algorithm based on EMD. Journal of Signal Processing, 35(10), 1680–1689. (In Chinese).Google Scholar
Lu, F., Chen, Z. and Chen, H. (2021). Lateral collision risk assessment of parallel routes in ocean area based on space-based ADS-B. Transportation Research Part C: Emerging Technologies, 124, 102970.CrossRefGoogle Scholar
Mangali, N. K. and Bagmare, V. S. (2017). Development of a Power over Ethernet (PoE) Enabled ADS-B Receiver System. 2017 International Conference on Wireless Communications, Signal Processing and Networking, Chennai, India.CrossRefGoogle Scholar
Nies, G., Stenger, M., KrčáL, J., Hermanns, H., Bisgaard, M., Gerhardt, D., Haverkort, B., Jongerden, M., Larsen, K. G. and Wognsen, E. R. (2018). Mastering operational limitations of LEO satellites – the GOMX-3 approach. Acta Astronautica, 151, 726–735.CrossRefGoogle Scholar
Petrochilos, N. and Van Der Veen, A. J. (2007). Algebraic algorithms to separate overlapping secondary surveillance radar replies. IEEE Transactions on Signal Processing, 55(7), 3746–3759.CrossRefGoogle Scholar
Petrochilos, N., Galati, G. and Piracci, E. (2009). Separation of SSR signals by array processing in multilateration systems. IEEE Transactions on Aerospace and Electronic Systems, 45(3), 965–982.CrossRefGoogle Scholar
RTCA DO-260B. (2009). Minimum Operational Performance Standards for 1090 MHz Extended Squitter Automatic Dependent Surveillance–Broadcast (ADS-B) and Traffic Information Services–Broadcast (TIS-B). Radio Technical Commission for Aeronautics (RTCA), Washington, DC.Google Scholar
Vincent, R. and Freitag, K. (2019). The Canx-7 ADS-B mission: signal propagation assessment. Positioning, 10(1), 1–15.CrossRefGoogle Scholar
Wang, W., Wu, R. and Liang, J. (2019). ADS-B signal separation based on blind adaptive beamforming. IEEE Transactions on Vehicular Technology, 68(7), 6547–6556.CrossRefGoogle Scholar
Werner, K., Bredemeyer, J. and Delovski, T. (2014). ADS-B Over Satellite: Global Air Traffic Surveillance from Space. Proceedings of the 2014 Tyrrhenian International Workshop on Digital Communications - Enhanced Surveillance of Aircraft and Vehicles, Rome, Italy.CrossRefGoogle Scholar
Wu, S., Chen, W. and Chao, C. (2016). The STU-2 CubeSat Mission and in-Orbit Test Results. Proceedings of the 30th Annual AIAA/USU Conference on Small Satellites, Logan, UT.Google Scholar
Xu, J., Liao, G., Zhu, S. and Huang, L. (2015). Response vector constrained robust LCMV beamforming based on semidefinite programming. IEEE Transactions on Signal Processing, 63(21), 5720–5732.CrossRefGoogle Scholar
Yu, S., Chen, L., Li, S. and Li, L. (2018). Separation of Space-Based ADS-B Signals with Single Channel for Small Satellite. Proceedings of the 2018 IEEE 3rd International Conference on Signal and Image Processing, Shenzhen, China.Google Scholar
Yu, S., Chen, L., Li, S. and Zhang, X. (2019). Adaptive multi-beamforming for space-based ADS-B. Journal of Navigation, 72(2), 359–374.CrossRefGoogle Scholar
Yu, S., Chen, L., Fan, C., Ding, G., Zhao, Y. and Chen, X. (2020). Integrated antenna and receiver system with self-calibrating digital beamforming for space-based ADS-B. Acta Astronautica, 170, 480–486.CrossRefGoogle Scholar
Zhang, Z. (2018). Optimization performance analysis of 1090ES ADS-B signal separation algorithm based on PCA and ICA. International Journal of Performability Engineering, 14(4), 741–750.Google Scholar
Zhang, Y., Li, W. and Dou, Z. (2019). Performance Analysis of Overlapping Space-Based ADS-B Signal Separation Based on FastICA. Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI.CrossRefGoogle Scholar
Zhao, Y., Wang, N., Chen, Q., Yu, S. and Chen, X. (2022). Satellite coverage traffic volume prediction using a new surrogate model. Acta Astronautica, 193, 357–369.CrossRefGoogle Scholar
Zhou, K., Sun, X., Huang, H., Wang, X. and Ren, G. (2017). Satellite single-axis attitude determination based on automatic dependent surveillance-broadcast signals. Acta Astronautica, 139, 130–140.CrossRefGoogle Scholar