通过自相关矩阵平滑改进相干源去相关

R. Kozick, S. Kassam
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引用次数: 0

摘要

当到达阵列的信号相互相关或相干时,许多自适应波束形成和到达角估计算法的性能都很差。本文描述了一种基于自相关矩阵平滑(AMS)思想的相干信号去相关改进技术。我们首先简要回顾了AMS的定义和性质,包括对以前提出的几种作为AMS特例的去相关方法的统一解释。然后,我们使用AMS方法制定了一种改进的去相关技术,并通过计算机模拟来说明新技术的性能
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved coherent source decorrelation by autocorrelation matrix smoothing
Many adaptive beamforming and angle of arrival estimation algorithms perform poorly when the signals arriving at the array are mutually correlated or coherent. We describe an improved technique for coherent signal decorrelation that is based on the idea of autocorrelation matrix smoothing (AMS). We begin with a brief review of the definition and properties of AMS, including a unified interpretation of several previously-proposed decorrelation methods as special cases of AMS. Then we use the AMS approach to formulate an improved decorrelation technique, and conclude with computer simulations that illustrate the performance of the new technique.<>
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