A Novel Adaptive Reverberation Suppression Method for Moving Active Sonar

摘要

Reverberation is one of the main interferences for the active sonar in a shallow sea and seriously affects the detection performance. For the moving sonar system, the motion of the active sonar platform will cause the reverberation in different azimuths to have different Doppler shifts. Space-time adaptive processing (STAP) can utilize this feature to improve the performance of reverberation suppression. However, the limitation of insufficient secondary data leads to the degradation of STAP performance in practical applications. To overcome this problem, we propose a novel STAP scheme to suppress the reverberation adaptively in this paper. This approach exploits the sparsity of reverberation space-time spectrum to reduce the requirement of secondary data and improve the estimation accuracy of reverberation covariance. Simulation results show that, compared with the conventional STAP method, our proposed algorithms obtain a better reverberation suppression ability and detection performance.