Evaluation of the angle of arrival based techniques

R. Asif, M. Usman, T. Ghazaany, A. Hussaini, R. Abd‐Alhameed, S. R. Jones, J. Noras, Jonathan Rodriguez
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引用次数: 1

Abstract

In this work we present the angle of arrival estimation techniques and their comparison at different values of SNR using a 5 element UCA. The techniques that have been considered include phase interferometry, Multiple Signal Classification and covariance. The results show that for very low values of SNR the performance of the covariance matrix based algorithm is the best but for slightly higher values of SNR, MUSIC algorithm outperforms covariance.
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基于到达角技术的评价
在这项工作中,我们提出了到达角估计技术及其在不同信噪比值下使用5元UCA的比较。已经考虑的技术包括相位干涉,多信号分类和协方差。结果表明,当信噪比较低时,基于协方差矩阵的算法性能最好,而当信噪比稍高时,MUSIC算法优于协方差算法。
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