一种适用于多输入多输出声呐的稳健空时自适应检测方法  

A robust space-time adaptive detection method for multiple-input multiple-output sonar

作　　者：陈世进 闫晟[1,2] 郝程鹏 侯朝焕[1,2] CHEN Shijin;YAN Sheng;HAO Chengpeng;HOU Chaohuan(Institute of Acoustics,Chinese Academy of Sciences,Beijing 100190;University of Chinese Academy of Sciences, Beijing 100049)

机构地区：[1]中国科学院声学研究所,北京100190 [2]中国科学院大学,北京100049

出　　处：《声学学报》2022年第6期777-788,共12页Acta Acustica

基　　金：国家自然科学基金项目(61971412);中国科学院声学研究所自主部署“目标导向”类项目资助。

摘　　要：针对多输入多输出声呐在水下探测场景中获得的空时快拍数量不足导致空时自适应检测性能下降的问题,提出一种适用于小空时快拍数情况下的稳健空时自适应检测(STAD)方法。首先将斜对称特性推广到多输入多输出(MIMO)声呐空时自适应检测中,并利用该特性将空时快拍数量扩展至原来的两倍;然后利用迭代自适应方法实现对空时协方差矩阵的重构;最后根据广义似然比检测(GLRT)准则推导出检验统计量。计算机仿真结果表明,所提方法可以在小空时快拍数情况下准确估计空时协方差矩阵,大幅减小空时自适应检测对空时快拍数量的需求,提高多输入多输出声呐在小空时快拍数情况下的检测稳健性。The insufficient number of space-time snapshots collected by the Multiple-Input Multiple-Output(MIMO)sonar in the underwater target detection scene results in the performance degradation of Space-Time Adaptive Detection(STAD).To deal with this problem,a robust STAD method for the MIMO sonar is proposed.Firstly,the persymmetric structure is extended to the MIMO sonar and the number of space-time snapshots is expanded to twice the original through this structure;secondly,iterative adaptive approach is utilized to reconstruct the space-time covariance matrix;finally,the test statistic for the MIMO sonar is obtained based on the Generalized Likelihood Ratio Test(GLRT)criterion.Computer simulation results show that the proposed method can realize the accurate estimation of space-time covariance matrix,greatly reduce the demand of snapshots in STAD,and improve the robustness of target detection.

关 键 词：多输入多输出 协方差矩阵 广义似然比检测 计算机仿真 检验统计量 声呐 水下探测 自适应检测方法 

分 类 号：U666.7[交通运输工程—船舶及航道工程]