对子空间投影类目标方位估计(DOA)算法在非理想条件下性能下降,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方法。论文第2节给出了基于特征分解的子空间投影算法的框架,依据不同的投影矩阵对多种算法进行分类。第3节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。第4节给出低信噪比和小采样长度条件下的算法统计性能分析,表明其性能优于传统多目标高分辨MUSIC算法。第5节通过湖试结果表明其工程应用价值。
Aim.The performance of existing subspace projection algorithms,in our opinion,decreases under inideal conditions.We propose a new algorithm,which we believe is better.Section 2 of the full paper presents the framework of several subspace projection algorithms obtained by the eigen decomposition method and classifies them according to spatial projection matrixes.Section 3 synthesizes the spatial spectrum and identifies multiple targets by weighting the signal subspace projection with reciprocals of principal...