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利用目标信道特性约束的信道匹配检测算法
引用本文:张蒙,王海斌,汪俊,台玉朋.利用目标信道特性约束的信道匹配检测算法[J].声学学报,2021,46(4):540-552.
作者姓名:张蒙  王海斌  汪俊  台玉朋
作者单位:1. 中国科学院声学研究所 声场声信息国家重点实验室 北京 100190;
基金项目:国家自然科学基金项目(11874061,11434012)资助
摘    要:浅海有源声呐的探测性能主要受到多途扩展以及混响干扰的影响。为了提高声呐系统的检测性能,根据双扩展信道匹配原理,结合混响信道与声呐目标信道特点,提出了一种基于回波特性约束的信道匹配检测算法。该算法通过最小二乘匹配追踪算法估计信道稀疏响应,并根据混响和目标信道的扩展差异,通过约束目标信道扩展对稀疏信道响应去冗余,得到更精确的目标回波信道响应。利用该信道响应进行信道匹配检测,可以进一步提高信混比处理增益。数值仿真结果表明所提算法可以有效汇集多途信号能量并抑制混响干扰,提高声呐系统的检测性能;海试数据处理结果显示,在试验信道条件下,所提算法处理结果的峰值信混比,与匹配滤波相比提升约7~12 dB,与传统自适应相关器相比提升约6~7 dB。 

关 键 词:信道匹配    有源探测    回波检测    混响抑制
收稿时间:2019-08-26

A channel matching detection algorithm based on target channel characteristic constraints
Affiliation:1. State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190;2. University of Chinese Academy of Sciences, Beijing, 100049
Abstract:The shallow sea active sonar detection performance is mainly affected by multi-path expansion and reverberation interference.This paper deduces the dual extended channel matching method based on the channel grid model and proposes a channel matching detection algorithm.The proposed algorithm uses the Least Squares-Matching Pursuit(LS-MP) algorithm to estimate the channel sparse response and removes the redundant part according to the different distribution of reverberation and target channel.Then,copy signal is reconstructed through the estimated channel response,and utilized to calculate correlation with the received signal to detect the echo.Numerical simulation results show that the proposed algorithm can effectively suppress the dual-extended channel loss,improve the Signal To Reverberation Ratio(SRR) processing gain and the signal detection performance of the sonar system.The sea trial data processing results show that the proposed algorithm enhances the SRR processing gain by about 7-12 dB compared with matched filtering and 6 dB compared with adaptive correlator. 
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