Fast communication: L-shaped array-based elevation and azimuth direction finding in the presence of mutual coupling

  • Authors:
  • Junli Liang;Xianju Zeng;Wenyi Wang;Hongyang Chen

  • Affiliations:
  • School of Automation & Information Engineering, Xi'an University of Technology, Xi'an, China;College of Management, Shenzhen University, China;Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China;Graduate School of Information Science and Technology, University of Tokyo, Japan

  • Venue:
  • Signal Processing
  • Year:
  • 2011

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Abstract

For two-dimensional (2-D) directions-of-arrival (DOA) estimation problem, both the mutual coupling and the failure in pairing can cause severe performance degradation. In this paper, a new elevation and azimuth direction finding algorithm is developed to overcome the above-mentioned two difficulties in the L-shaped array configuration. The key points of this paper are: (i) constructing several correlation matrices to blindly compensate the effect of unknown mutual coupling using the outputs of properly chosen sensors and (ii) deriving a rank-reduction propagator method to estimate elevation and azimuth angles so as to avoid pairing parameters. Simulation results are presented to validate the performance of the proposed method.