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.
Highlights
Surveillance technology is a key component of intelligent air traffic, Its safety and reliability are very important
SEPARATION AND PERFORMANCE COMPARISON EXPERIMENT OF Automatic Dependent Surveillance-Broadcast (ADS-B) SIGNAL Two ADS-B signals are generated randomly, the sampling rate is 10MHz, the power difference between the two signals is 3dB, the relative delay of the overlap signal is 47.5us, the SNR is 20dB, and the preamble of the high-power signal and low-power signal in the overlap signal is not damaged, and the amplitude of the signal is different
ADS-B overlap signal separation algorithm based on time domain cancellation determine
Summary
Surveillance technology is a key component of intelligent air traffic, Its safety and reliability are very important. K. Li et al.: Reliable Separation Algorithm of ADS-B Signal Based on Time Domain important information and ensure the safety of the aircraft, which will degrade the airspace surveillance performance. This paper analyzes and classifies overlap signal pulses, and proposes an overlap ADS-B signal separation method based on time-domain cancellation.
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