Single Channel Signals Separation of Space-based ADS-B Based on Compressed Sensing

Automatic Dependent Surveillance-Broadcast (ADS-B) is a leading technology for Air Traffic Management (ATM). ADS-B on a small satellite enables seamless global aircraft surveillance. However, a large number of aircraft transmitting in the same band simultaneously can cause signal overlap, which can seriously affect the monitoring capability of the system. In this paper, aiming at the internal connection between the ADS-B signal single-channel separation model and the Compressed Sensing (CS) model, a single-channel separation algorithm for ADS-B signal based on CS is proposed. This paper also discusses the effects of sampling rate, relative amplitude, relative time delay and Signal-to-Noise Ratio (SNR) on the separation of overlapping ADS-B signals. The simulation results show that the algorithm is effective even if the two signals overlap entirely.