Thet, Nann Win MoeÖzdemir, Mehmet KemalKachroo, Amit10.07.20192019-07-1010.07.20192019-07-102018Thet, 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.2018.84045929781538615010https://hdl.handle.net/20.500.12511/1549https://dx.doi.org/10.1109/SIU.2018.8404592In 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.eninfo:eu-repo/semantics/embargoedAccessArray Mutual CouplingAuto-CalibrationDirection-Of-Arrival (BOA) EstimationJoint İterative Estimation MethodsReduced-Rank MethodsConference Object1410.1109/SIU.2018.8404592N/AN/A