子空间投影DOA估计算法分析及合成空间谱  

Analysis of Subspace Projection DOA Algorithms and Synthetic Spectrum

作　　者：游鸿[1] 黄建国[1] 

机构地区：[1]西北工业大学航海学院,陕西西安710072

出　　处：《航空学报》2008年第5期1334-1339,共6页Acta Aeronautica et Astronautica Sinica

基　　金：国家自然科学基金(60572098);航空科学基金(05F53027)

摘　　要：针对子空间投影波达方向(DOA)估计方法在非理想条件下性能下降的问题,提出利用加权信号子空间投影和噪声子空间投影获得合成空间谱的DOA估计方法。从不同空间投影矩阵的角度对多种基于特征分解的子空间投影DOA估计方法进行归类分析,在分析的基础上通过对信号子空间投影采用主特征值倒数加权,并与常规噪声子空间投影进行空间谱合成对多目标进行分辨。合成空间谱在低信噪比、小快拍数和非等强多目标条件下具有优良的目标分辨能力和稳健性。理论和统计性能分析表明其性能优于多重信号分类(MUSIC)和信号子空间模变MUSIC(SSMUSIC)方法,有较高的工程应用价值。The performance of direction of arrival （DOA） estimation algorithms based on subspace projection deteriorates under nonideal scenario. A new method which synthesizes noise subspace projection with weighted signal subspace projection is proposed. The article analyses many subspace projection algorithms based on eigen decomposition and categorizes them according to spatial projection matrixes. The method obtains the spatial spectrum based on signal subspace projection weighted with the reciprocal of principal eigenvalues. Then it is multiplied on the spatial spectrum based on noise subspace projection. The synthetic spatial spectrum can be used to multi-target resolution. Especially it shows high resolution and robust performance under scenarios of low SNR, snapshot deficiency or targets with different powers. Theoretical and statistical analysis shows that its performance is better than MUSIC and SSMUSIC.

关 键 词：阵列信号处理 空间谱 波达方向估计 子空间投影 稳健性 

分 类 号：TN911.7[电子电信—通信与信息系统]