摘要
在浅海环境中混响是造成主动声呐性能下降的主要原因之一。混响是由发射信号引起的,其频域上覆盖区域与发射信号基本重合,时域上与发射信号及目标回波强相关,这给混响和目标的分离造成了很大的困难。本文借鉴PD雷达中的动目标检测方法,提出一种适用于声呐动目标检测的滤波器设计算法。该算法利用运动目标回波和混响在时频域上的不同特性,设计了级联自适应滤波器实现混响抑制和目标增强。在此基础上进行匹配滤波等处理可以获得理想的效果。该算法可大幅提高信混比,有效改善运动目标的检测能力。
The performance of active sonar often degrades dramatically because of reverberation in shallow water. Reverberation is caused by the transmitted signal. In the frequency domain, its coverage area basically coincides with the transmitted signal, and in the time domain, it has strong correlation with the transmitted signal and target echo signals. This make it difficult to separate the reverberation from the target echo signals. This paper draws on a mature method of moving target detection in PD radar, and proposes an algorithm of filter design for underwater situation. The algorithm uses the differences between target echo signals and reverberation in the time and frequency domains, and designs two cascaded adaptive filters.The two filters accomplish the aim of reverberation suppression and target echo signals enhancement. On this basis, matched filters or other processing method will achieve optimal performance. This algorithm can increase the signal-to-reverberation ratio and effectively improve the detection ability of moving targets.
作者
兰同宇
周胜增
LAN Tong-yu;ZHOU Sheng-zeng(Shanghai Marine Electronic Equipment Research Institute,Shanghai 201108,China)
出处
《舰船科学技术》
北大核心
2021年第3期130-133,共4页
Ship Science and Technology
关键词
主动声呐
混响抑制
多普勒频移
自适应滤波器
特征矢量法
active sonar
reverberation suppression
doppler shift
adaptive filter
eigenvector method
