A Reliable Separation Algorithm of ADS-B Signal Based on Time Domain

Abstract

With the development of Aerospace Science and technology, automatic dependent surveillance-broadcast has become a core technique in the field of air surveillance. Installing ADS-B receiver on LEO satellite can solve the problem of small coverage of ground receiver, to realize global coverage and monitoring. However, the satellite ADS-B system is faced with serious collision and overlap problems, which has a serious impact on the signal decoding, leading to the wrong decoding or even loss of important information. In this paper, a time-domain ADS-B blind signal separation algorithm is proposed. When there is a certain power difference between the two source signals, the overlap signals are offset by the high-power signal and low-power signal to get the corresponding cancellation signals. According to the superposition mode of different pulses, different bit decision results are obtained according to the amplitude, to recover the source signal. Simulations demonstrate that the proposed algorithm is feasible and has a lower bit error rate.

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

“…However, the weak signal cannot be recovered when the input SNR of the overlapping signal is low or the power difference between the two signals is large. Li et al Li et al (2021) proposed a blind separation algorithm based on time domain. Firstly, the amplitude of the first and last signals is estimated as the threshold, and then two signals were obtained by differentiating with the overlapping signals.…”

“…Depending on algorithm principle, traditional separation methods can be classified into three categories for single antenna-based ADS-B signal separation. For the first approach Wu et al (2017); Yu et al (2018); Li et al (2021), the power difference between overlapping signals is used to separate ADS-B signals. However, this approach is limited to small power difference between overlapping signals.…”

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

“…The source signal is recovered by obtaining different bit decision results based on the amplitude and the superposition of different pulses. Based on simulation results, the proposed algorithm has a low BER and is feasible [19]. Yu, S. et al introduced a digital beamforming system with automatic calibration for receiving automatic surveillance broadcasts, or ADS-B signals, on satellites.…”