一种基于压缩感知的目标DOA估计方法  

A CS-based DOA Estimation Method for Submarine Target

作　　者：郭艳芬[1] 张红梅[2] 冯素芬[1] 

机构地区：[1]北京工业职业技术学院基础部,北京100042 [2]哈尔滨工程大学自动化学院,黑龙江哈尔滨150001

出　　处：《北京工业职业技术学院学报》2013年第3期58-62,共5页Journal of Beijing Polytechnic College

摘　　要：对于水下目标的波达方向估计(DOA)问题,提出一种基于压缩感知的估计方法。压缩感知(CS)是近年来出现的一种新的数据获取方法,能以低于Nyquist的采样率对稀疏数据或可压缩数据进行采样并以高概率对采样数据恢复重构。以水下目标的方位信号为估计对象,采用CS的正交匹配跟踪(OMP)技术估计稀疏信号中能量较强的位置,从而实现对目标的定向。为了验证基于CS技术的DOA估计方法的性能,将其与传统的MUSIC算法进行了对比,仿真验证的结果表明,新方法在估计角分辨率和有效性方面均优于MUSIC算法。For the directionality of arrival （DOA） problem of submarine target, a CS - based estimation method is proposed. The compressive sensing （CS） theory is a new data acquisition method, by which a sparse or compres- sive data can be sampled with below Nyquist sampling rate, and reconstructed with high probability. In this work, the directionality signal of submarine target is chosen as estimation object, and the OMP technique in CS is applied to the estimation of the power strong location. Therefore, the direction of target is defined. To verify the perform- ance of the CS - based DOA estimation method, it is contrasted with MUSIC algorithm by simulation. The results of simulation denote that the new method is superior to the MUSIC algorithm on angle resolution and affectivity.

关 键 词：DOA估计 压缩感知(CS) OMP MUSIC算法 

分 类 号：U666.1[交通运输工程—船舶及航道工程]