Reduced-rank joint estimation of DOA with mutual coupling


Thet N. W. M., ÖZDEMİR M. K., Kachroo A.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2018.8404592
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.1-4
  • Keywords: Array mutual coupling, Auto-calibration, Direction-of-arrival (BOA) estimation, Joint iterative estimation methods, Reduced-rank methods
  • Istanbul Medipol University Affiliated: Yes

Abstract

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.