Reduced-rank joint estimation of DOA with mutual coupling
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CitationThet, N., Özdemir, M. ve Kachroo, A. (2018). Reduced-rank joint estimation of DOA with mutual coupling. 26th IEEE Signal Processing and Communications Applications Conference (SIU) içinde (1-4. ss.). İzmir, Turkey, 2-5 May, 2018. https://dx.doi.org/10.1109/SIU.2018.8404592
In this paper, an extended reduced-rank direction-of-arrival (DOA) estimation with unknown mutual coupling in uniform linear array (ULA) structure is presented. The proposed method is based on the joint iterative subspace optimization (JIO) and the auto-calibration of mutual coupling. Given an initial coupling vector, reduced-rank correlation matrix is estimated with the JIO approach, followed by iterative joint estimation of DOA and coupling with an auto-calibration algorithm. Simulation results show that both the proposed method and the existing auto-calibration method have similar performance in terms of DOA root mean square error, while the complexity of the proposed method is much lower than that of the auto-calibration approach due to the reduced rank.