Integrated antenna and receiver system with self-calibrating digital beamforming for space-based ADS-B

Yu, Sunquan; Li-hu, Chen; Fan, Chengguang; Ding, Guodong; Zhao, Yong; Chen, Xiaoqian

doi:10.1016/j.actaastro.2020.02.001

Cited by 12 publications

(5 citation statements)

References 6 publications

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“…Finally, a software receiver is used to decode the separated signals and retrieve ADS-B information. To reduce the overlap probability of ADS-B signals, many companies employ multi-antenna designs on space-based ADS-B receivers (Blomenhofer et al., 2012; Bettray et al., 2013; Yu et al., 2020; Zhao et al., 2022). Therefore, the proposed algorithm can be directly applied to space-based ADS-B receivers.…”

Section: Discussionmentioning

confidence: 99%

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

Jia

2023

J. Navigation

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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.

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Section: Discussionmentioning

confidence: 99%

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

Jia

2023

J. Navigation

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“…The presentation includes the in-orbit self-calibration method, signal processing algorithms, antenna and receiver design, and system testing methods. The design can significantly improve receiver sensitivity, reduce signal collisions, and improve the reliability of space-based ADS-B systems, as confirmed by test results in a microwave darkroom [20]. Chiocchio, S. et al present a performance analysis of enhancement techniques to detect and decode ADS-B signals transmitted at 1090 MHz carrier frequency under high interference conditions.…”

Section: Introductionmentioning

confidence: 88%

Research on ADS-B spoof detection technology based on radio spectrum features

Li,

Zhou

2023

Applied Mathematics and Nonlinear Sciences

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This paper discusses and analyzes the 1090ES mode ADS-B and examines the airborne ADS-B transponder and ground monitoring sensing nodes. The ADS-B signal receiver structure converts the received radio signal to a zero IF signal for digital filtering to obtain phase information. The cognitive radio spectrum monitoring technology mainly uses periodic characteristic monitoring to maximize the network's security in the era of artificial intelligence. For a set of ADS-B messages from the same source, the correlation coefficients of the two variation amounts are carried out to discriminate between real targets and spoofed interference, and the source consistency detection method is used to reduce the probability of false alarms. The results show that when the number of signal bars is greater than 11, the correlation value of the real signal is greater than 0.61, while the correlation value of the spoofed signal is around 0.22, which can be better distinguished.

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“…Automatic Dependent Surveillance-Broadcast (ADS-B) is a modern air traffic management technology and sends the position, speed, altitude and other information of the aircraft to the ground control center in real time Ali et al (2017); Zhang et al (2018); Yu et al (2020); Shen et al (2020). It can improve the safety and efficiency of air traffic.…”

Section: Introductionmentioning

confidence: 99%

Independently Convolutional Gated Recurrent Neural Unit for Space based ADS-B Signal Separation with Single Antenna

2023

Preprint

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Automatic Dependent Surveillance-Broadcast (ADS-B) is a critical technology to transform aircraft navigate through improving safety, efficiency, and overall effectiveness in the aviation industry. However, ADS-B signal overlapping is a large challenge, especially for space-based ADS-B system. The existing traditional methods cannot effectively separate overlapping signals with small difference such as power difference, carrier frequency difference. To solve this problem, we propose Independently Convolutional Gated Recurrent Neural Unit (Ind-CGRU) to build the encoder-decoder network. And Ind-CGRU explores the more temporal relationship of ADS-B signal to generate effective separation mask and improves the ADS-B signal separation performance. Experimental results on SRADSB dataset, demonstrate that the proposed Ind-CGRU achieves the good performance.

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Integrated antenna and receiver system with self-calibrating digital beamforming for space-based ADS-B

Cited by 12 publications

References 6 publications

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

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

Research on ADS-B spoof detection technology based on radio spectrum features

Independently Convolutional Gated Recurrent Neural Unit for Space based ADS-B Signal Separation with Single Antenna

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