采用随机矩阵理论的水声阵列SMI-MVDR空间谱估计技术

发布时间：2018-01-28 18:00

本文关键词： 声学随机矩阵理论最小方差无畸变响应样本协方差矩阵波达方向　出处：《火力与指挥控制》2017年03期 　论文类型：期刊论文

【摘要】：对角加载MVDR技术是一种经典的空间谱估计技术,在水声阵列信号处理中有着广泛的应用。该技术之所以具有较好的性能是由于其通过对角加载使样本协方差矩阵的特征值分散度减小。提出了基于随机矩阵理论的MVDR空间谱估计技术,具体思路是利用随机矩阵特征值的极限性质实现样本协方差矩阵噪声的抑制,以达到类似对角加载能够实现的特征值分散度减小的效果。仿真表明所提出的方法与对角加载方法达到了同样的目的,且当快拍数一定,而信噪比由小变大时,该方法可以达到与对角加载MVDR技术相当的性能;当信噪比设为定值,快拍数由小变大时,其与对角加载技术具有相同的DOA估计成功概率变化趋势,且在小样本情况下,此方法优势较为明显。
[Abstract]:Diagonally loaded MVDR is a classical spatial spectrum estimation technique. It has been widely used in underwater acoustic array signal processing. The reason why this technique has better performance is that the dispersion of eigenvalue of sample covariance matrix is reduced by diagonal loading. A stochastic matrix theory is proposed. The MVDR space spectrum estimation technique based on the proposed method. The concrete idea is to use the limit property of eigenvalue of random matrix to suppress the noise of sample covariance matrix. The simulation results show that the proposed method achieves the same purpose as the diagonal loading method, and when the number of beats is fixed and the SNR increases from small to large. The performance of this method is comparable to that of diagonally loaded MVDR. When the SNR is fixed and the beat number changes from small to large, it has the same trend of DOA estimation success probability as the diagonal loading technique. In the case of small sample, the advantage of this method is obvious.
【作者单位】：西北工业大学航海学院;
【基金】：国家自然科学基金资助项目(61401362)
【分类号】：TB56;TN912.3
【正文快照】： *0引言水听器阵列比单个阵元具有更好的指向性,因此,可以更好地确定目标信号的入射方位,同时也可以将输出信噪比提高到一个与阵元个数成正比的倍数。故其被广泛地应用于主被动声纳系统中。空间谱估计技术是水声阵列信号处理中的常用手段,经过几十年的发展,已经形成了两类技术,

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