The bottom reverberation suppression algorithm for side scan sonar

Liu Jia, Xu Feng, Yang Juan, An Xu-dong
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Abstract

The sea bottom reverberation is one of the important problems, which restrict the bottom targets detection performance with the high frequency imaging sonar. In this paper, a bottom reverberation suppression algorithm is presented to improve the performance of the high frequency side scan sonar for small target detection. In the paper, the statistics characteristic of the target echo and the bottom reverberation is introduced, with the experiment data processing. The target echo and the bottom reverberation could be separated with the difference of the statistics characteristic. And the Blind Source Separated method was applied to implement the signal separation. At last, the effective of this method was proved by the process of the experiment data.
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侧扫声纳底部混响抑制算法
海底混响是制约高频成像声纳探测海底目标性能的重要问题之一。为了提高高频侧扫声纳探测小目标的性能,提出了一种底部混响抑制算法。本文介绍了目标回波和底混响的统计特性,并对实验数据进行了处理。利用统计特性的差异,可以将目标混响与底混响区分开来。采用盲源分离方法实现信号分离。最后,通过对实验数据的处理,证明了该方法的有效性。
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