相互耦合对MUSIC DoA估计性能的影响

2018 International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2018-10-01 DOI:10.1109/ICTC.2018.8539655

Jung-Bin Kim, C. Sin

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引用次数: 2

摘要

研究了基于均匀线性阵列(ULA)的多信号分类(MUSIC)算法中相互耦合(MC)对到达方向(DoA)估计性能的影响。在各种补偿MC的方案中，比较了两种常用的补偿方案在均方根误差(RMSE)意义上的差异;一种是估计互耦系数，另一种是忽略ULA的边界天线。结果表明，在低信噪比(SNR)和/或样本数量较少的情况下，前者优于后者，但随着信噪比和/或样本数量的增加，反之亦然。

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Impact of Mutual Coupling on Performance of DoA Estimation using MUSIC

This paper investigates the impact of mutual coupling (MC) on the performance of direction of arrival (DoA) estimation based on multiple signal classification (MUSIC) algorithm with uniform linear array (ULA). Among various schemes for compensating MC, two widely used ones are compared in the sense of root mean squire error (RMSE); The one is estimating the mutual coupling coefficients and the other is ignoring boundary antennas of ULA. It is shown that the former one is superior to the later in low signal-to-noise ratio (SNR) regimes and/or a number of samples is small, but vice versa as SNR and/or the number of samples increase.

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2018 International Conference on Information and Communication Technology Convergence (ICTC)

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