最小二乘矩阵滤波器在目标方位估计中的应用  

Application of Least Square Matrix Filter in DOA Estimation

作　　者：张书第[1] 韩磊[1] 韩东[2] 

机构地区：[1]海军大连舰艇学院学员23队,辽宁大连116018 [2]海军大连舰艇学院信息与通信工程系,辽宁大连116018

出　　处：《电声技术》2011年第2期67-70,共4页Audio Engineering

摘　　要：雷达声呐目标探测主要依靠多传感器的阵列数据,当前广泛使用的MUSIC算法是一种准确度较高的目标方位估计算法,但在小快拍数、低信噪比、小阵元数条件下,性能会受到较大影响。矩阵滤波技术用于阵列数据预处理,可有效提高目标方位估计性能。首先,考虑最小二乘矩阵滤波器的设计方案,分析通带中心位置对其性能的影响;其次,利用设计的最小二乘矩阵滤波器对阵列接收信号空域预滤波,之后利用MUSIC算法估计目标方位。通过仿真可知,利用矩阵滤波器对阵列数据预滤波,可有效改善后续目标信号方位估计性能。The DOA estimation of radar and sonar mainly depends on array signal. The widely used MUSIC algorithm has high precision in DOA estimation. However, under the conditions of low beat, low SNR and small matrix element number, the performance is significantly affected. Matrix filter can be used for array data prep- rocessing, the performance of DOA estimation can be improved efficiently. Firstly, in this paper, the design of least square matrix filter is considered and the effect of the passband position is analyzed. Secondly, the MUSIC algorithm is used for DOA estimation with the preprocessed array signal. By simulation, it can be found that the performance of the DOA estimation can be improved greatly with the preprocessing of array signal by matrix filter.

关 键 词：矩阵滤波器 最小二乘 MUSIC 预滤波阵列信号预处理 

分 类 号：TB535.2[理学—物理]