An adaptive signal processing for enhanced target detection in active sonar systems
K.M. Kim, D.H. Youn, Kyoung Cheol Doh, Woun-Chun Oh
Abstract
K.M. Kim, D.H. Youn, Kyoung Cheol Doh, Woun-Chun Oh
Abstract
Active sonar systems are faced with the difficult task of detecting moving targets in strong reverberation environments. Since the effective cancelling of the reverberation cannot be accomplished with a fixed notch filter, a filter structure to recover target signals obscured by the reverberation is proposed. The proposed scheme consists of an adaptive filter and a fixed filter. The optimum and suboptimum solutions are also considered. Experiments for an active sonar system are performed to examine the potential of the proposed structure for the target signal enhancement problem.
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Active sonar systems are faced with the difficult task of detecting moving targets in strong reverberation environments. Since the effective cancelling of the reverberation cannot be accomplished with a fixed notch filter, a filter structure to recover target signals obscured by the reverberation is proposed. The proposed scheme consists of an adaptive filter and a fixed filter. The optimum and suboptimum solutions are also considered. Experiments for an active sonar system are performed to examine the potential of the proposed structure for the target signal enhancement problem.
Key concepts: Reverberation, Marine mammals and sonar, Sonar, Adaptive filter, Computer science, Sonar signal processing, Filter (signal processing), SIGNAL (programming language)