基于MUSIC-Group Delay算法的相邻相干信号源定位  

Closely spaced coherent-source localization based on MUSIC-group delay algorithm

作　　者：郑家芝 Zheng Jiazhi(College of Computer Information Engineering, Hohai University, Nanjing 211100, China)

机构地区：[1]河海大学计算机与信息学院,南京211100

出　　处：《国外电子测量技术》2016年第12期61-65,共5页Foreign Electronic Measurement Technology

摘　　要：为了准确的进行相邻的相干信号源定位,提出了一种基于多重信号分类群延迟(MUSIC-group delay)的改进算法。首先,将空间平滑技术引入到波达方向(DoA)估计当中去除部分相干信号。由于在信号源相邻的情况下子空间算法的性能降低,就结合了MUSIC-Group Delay算法来区分相邻的信号源,这种方法因为自身的加和性通过MUSIC相位谱来计算群延迟函数,从而能估计出相邻的信号源。理论分析和仿真结果表明提出的方法估计相邻的相干信号源比子空间算法更精确,分辨率更高。In this paper,the closely spaced coherent-source localization is considered,and an improved method based on the group delay of Multiple Signal Classification（MUSIC）is presented.Firstly,we introduce the spatial smoothing technique into direction of arrival（DoA）estimation to get rid of the coherent part of signals.Due to the degraded performance of sub-space based methods on the condition of nearby sources,we then utilize the MUSIC-Group Delay algorithm to distinguish the closely spaced sources,which can resolve spatially close sources by the use of the group delay function computed from the MUSIC phase spectrum for efficient DoA estimation owing to its spatial additive property.Theoretical analysis and simulation results demonstrate that the proposed approach can estimate the DoA of the coherent close signal sources more precisely and have higher resolution compared with sub-space based methods.

关 键 词：DOA估计 相干信号源 空间平滑技术 MUSIC-Group Delay算法 

分 类 号：TN911[电子电信—通信与信息系统]