用更完全的SVD逼近和信息利用技术实现单次快摄的阵信号处理

Array Processing Using More Complete SVD Approximation and Information Utilization Technique in Single Snapshot Case

本文就单次快摄(Single snapshot)的空间谱估计问题,在改进的前后向线性预测(MFBLP)方法的基础上,提出了一种更完全的奇异值分解SVD逼近与信息利用的空间谱估计技术,并对此法的解相干性作了较为详细的讨论。计算机模拟实验表明本文的方法优越于MFBLP、空间平滑多信号分类(SSM)及改进的空间平滑多信号分类(MSSM)等方法。

In this paper, we study the spatial spectrum estimation in single snapshot case. A more complete singular value decomposition (SVD) approximation and information utilization technique are presented on the basis of the modified forward-backward linear prediction (MFBLP) method. The 'decoherency' of the technique is discussed in detail. The computer simulation shows that the method proposed in this paper is superior to the MFBLP, the spatial smoothed MUSIC (SSM) and the modified spatial smoothed method (MSSM).