基于空间谱估计的测向技术  

Research on Direction Finding based on Spatial Spectrum Estimation

作　　者：陈旗[1] 黄高明[1] 宋士琼[1] 陶学龙[1] 

机构地区：[1]海军工程大学电子工程学院,武汉430033

出　　处：《火力与指挥控制》2010年第8期41-44,共4页Fire Control & Command Control

基　　金：中国博士后科学基金(20080431379);国家"863"计划基金资助项目(2009AAJ116)

摘　　要：利用空间谱估计测向技术可以实现对目标信号测向,其优异的测向性能受到理论界和工程界的极大重视,出现了许多各具特色的空间谱测向算法,主要对多重信号分类算法(MUSIC)、旋转不变子空间(ESPRIT)、最大似然算法(ML)这三种算法进行了测向性能的比较分析。首先介绍了空间谱估计的基本原理,然后构建了均匀线阵的阵列模型,对三种测向算法及其流程做了较详细的分析,最后从不同的信噪比、快拍数和阵元数三个方面进行了测向性能仿真,仿真结果显示:在算法的测向精度上,MUSIC算法和ML算法明显要优于ESPRIT算法,随着信噪比的提高、阵元数目的增多、快拍数的增加,三种算法的测向性能都随之得到改善。The technology of direction finding by spatial spectrum estimation is very effective to goal signals.Its outstanding performance in direction finding is valued highly by the theory and the engineering,therefore many unique algorithms have appeared,it is analysed to the the Multiple Signal Classification algorithm and Maximum Likelihood allgorithm and Estimation of Signal Parameters via Rotational Invariance Techniques in the paper.Firstly,it is introduced to the basal theory of spatial spectrum estimation,then it is constructed to the antenna array model of uniform line-array and it is detailed analysed to the three kinds of direction finding algorithm and its flow.At last,the emulation of direction finding is operated from different SNR,fast-sampling points and array unit number,it is showed by simulated conclusion that MUSIC and ML algorithm are superior to ESPRIT algorithm at precision of direction finding,the direction finding performance of the three kinds of algorithm are all improved as the increasing of SNR,fast-sampling points and array unit number.

关 键 词：空间谱估计 均匀线阵 多重信号分类算法 旋转不变子空间 最大似然算法 

分 类 号：TN820[电子电信—信息与通信工程]