Anti-reverberation target detection and identification in synthetic aperture sonar

Abstract

When synthetic aperture sonar (SAS) is used for mine hunting, effective anti-reverberation detection before acoustic imaging is very important. A new combined anti-reverberation detection and identification technique based on WVD time-frequency spectrum characteristic matching processing is presented in this paper. We make use of the characteristics of additive Gaussian distribution of seafloor reverberation and the difference between reverberation (involving false target) and target echo in time-frequency domain. The processing results of the SAS data obtained from lake test show that the combined anti-reverberation detection and identification technique is robust, not only effective in anti-reverberation detection, but also helpful to recognize the SAS image.