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FOC-MUSIC method for signal parameter estimations using vector circular array

机译:矢量圆阵列的FOC-MUSIC信号参数估计方法

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摘要

Vector circular array (VCA) is a relatively new array configuration for signal direction and polarization estimations. The objective of this study is to find a more accurate and robust DOA and polarization estimation approach for VCA. Fourth-order cumulants based MUSIC (FOC-MUSIC) method is attractive for possible high resolution in both white and colored Gaussian noise. This paper presents a study by comparing the FOC-MUSIC with conventional MUSIC for both white and colored Gaussian noise. Through stochastic simulation and error analysis, it is found that the adopted FOC-MUSIC can achieve more accurate estimations of direction and polarization in both white and colored Gaussian noise, especially for low SNR scenarios.
机译:矢量圆阵列(VCA)是一种相对较新的阵列配置,用于信号方向和极化估计。这项研究的目的是为VCA寻找更准确,更可靠的DOA和极化估计方法。基于四阶累积量的MUSIC(FOC-MUSIC)方法对于白噪声和彩色高斯噪声中的高分辨率都具有吸引力。本文通过将FOC-MUSIC与传统MUSIC进行比较,对白色和彩色高斯噪声进行了研究。通过随机模拟和误差分析,发现采用的FOC-MUSIC可以在白噪声和彩色高斯噪声中实现更准确的方向和偏振估计,尤其是在低SNR情况下。

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