Extracting target highlight feature based on low-rank matrix recovery in reverberation background

When the active sonar detects the underwater target,the reverberation interference increases the difficulty of extracting the target bright spot feature from the target echo signal.According to the correlation between the target echo and the reverberation in the time-frequency domain,the adaptive-kernel function time-frequency analysis method is used to transform the target echo signal into the time-frequency domain.The target echo and reverberation are divided into the sparse matrix and the low rank matrix by the low rank matrix recovery method,thereby separating the target echo and the reverberation,and reducing the interference of the reverberation on the echo signal.The Hough transform is used to extract the bright peaks in the echoes for the sparse matrix,and the highlight features of the target are obtained.The simulation and actual experimental data prove that the low-rank matrix recovery method can further distinguish the target echo and reverberation in the time-frequency domain with low signal-to-mix ratio,so as to suppress reverberation and obtain the target bright spot features more easily.