【作者】 张蒙； 王海斌； 汪俊；

【Author】 ZHANG MENG;WANG Hai-bin;WANG Jun;State Key Laboratory of Acoustics,Institute of Acoustics,Chinese Academy of Sciences;University of Chinese Academy of Sciences;

【机构】 中国科学院声学研究所声场声信息国家重点实验室； 中国科学院大学；

【摘要】 浅海主动声纳回波检测是混响、噪声背景下的微弱信号检测问题。经典的LMS自适应检测方法通过估计信道结构,进行时间反转汇集多途能量来抑制干扰。LMS自适应信道估计实际是逼近信道的最小二乘(LS)解,没有充分利用信道的稀疏结构。估计的信道响应中包含混响、噪声分量,降低了检测器性能。本文提出了一种新的自适应回波信号检测方法:采用最小二乘匹配追踪(LSMP)算法对信道的时延多普勒响应进行稀疏化处理;并根据信道扩展的先验信息,进一步修正信道响应,进行自适应回波检测。海试数据处理结果表明,该方法相比于经典检测方法信混比增益提升了约3dB。更多还原

【Abstract】 Echo detection under reverberation and noise is the critical issue in a sonar system.Traditional adaptive detection method is based on the LMS(Least Mean Square)algorithm.The output of the LMS algorithm approximates to the least-square solution of the underwater acoustic channel estimation,which ignores the channel’s sparsity,resulting in the high false-alarm rate.In this paper we incorporate the LSMP(Least Square Matching Pursuit)method into estimating the time delay response and doppler frequency shift.For the purpose of reducing false-alarm rate,a tap-selecting method is specially conceived.Experimental results demonstrate that the method of this paper can effectively mitigate the interruptions during the detection process.更多还原