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Active Sonar Reverberation Suppression Based on Beam Space Data Normalization

机译:基于光束空间数据归一化的活动声纳混响抑制

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Reverberation is the main interference in active sonar detection, due to its special properties, reverberation suppression is a difficult problem in active sonar signal processing. In this paper, the method of reverberation suppression is studied, and a new method based on the normalization of the beam space data is proposed. The basic idea of this method is to normalize the time waveform of the beam space, and then carry out the subsequent matched filtering and port-starboard discrimination.This method can reduce CFAR detection probability under reverberation background, remove the interference of own ship, and does not affect the performance of the subsequent signal processing, compared with the method of normalization after matched filtering,this algorithm has low false alarm probability and engineering practicability, Shallow sea experimental data of active towed array show that the method is effective.
机译:混响是主动声纳检测的主要干扰,由于其特殊性,混响抑制是活动声纳信号处理中的难题。在本文中,研究了混响抑制方法,提出了一种基于光束空间数据归一化的新方法。该方法的基本思想是归一化光束空间的时间波形,然后执行随后的匹配滤波和端口右舷辨别。该方法可以减少混响背景下的CFAR检测概率,消除自己船的干扰,以及不影响随后的信号处理的性能,与匹配过滤后的归一化方法相比,该算法具有低误报概率和工程实用性,有源牵引阵列的浅海实验数据表明该方法是有效的。

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