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Conference Paper Impact of Mutual Coupling on Performance of DoA Estimation using MUSIC
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Authors
Jung-Bin Kim, Cheon Sig Sin
Issue Date
2018-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.460-462
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2018.8539655
Abstract
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.
KSP Keywords
Coupling Coefficient, Direction of arrival (DOA) estimation, Mean squire, Multiple signal classification (MUSIC) algorithm, Mutual coupling, Signal noise ratio(SNR), Signal-to-Noise, Uniform linear array(ULA)