Blind signal separation and reverberation cancelling with active sonar data

Abstract

With easily available prior knowledge, we explore a new approach for nulling of reverberation through separating active sonar data into reverberation and moving target echo. From the perspective of signal processing, the method, as outlined below, is based on active sonar data properties and the process of how reverberation is formulated. It is assumed that active sonar data can be separated into two parts that are target echo signal and reverberation. First, we generate a backward matrix from active sonar data to approximate the classical blind signal separation model. Second, after blind signal separation is performed on the backward matrix, separation is done. Third, the estimated signal with the largest kurtosis is selected as the desired target echo signal and the reverberation is cancelled at the same time. Fourth, the human hearing feature helps the process to be adaptive. The real sea experiment proves the method to be effective.