Adaptive array thinning for enhanced DOA estimation

Antenna array configurations play an important role in direction of arrival (DOA) estimation. In this letter, performance enhancement of DOA estimation is achieved by reconfiguring the multi-antenna receiver through an antenna selection strategy. We derive the Cramer-Rao Bound (CRB) in terms of the...

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Journal Title: IEEE Signal Processing Letters Vol. 22; no. 7; pp. 799 - 803
Authors: Moeness Amin, X. Wang, E. Aboutanios
Format: Article
Language: English
Published: 2015
Subjects:
Summary: Antenna array configurations play an important role in direction of arrival (DOA) estimation. In this letter, performance enhancement of DOA estimation is achieved by reconfiguring the multi-antenna receiver through an antenna selection strategy. We derive the Cramer-Rao Bound (CRB) in terms of the selected antennas and associated subarray for both peak sidelobe level (PSL) constrained isotropic and directional arrays in single source cases. Since directional arrays are angle dependent, a Dinklebach type algorithm and convex relaxation are introduced to maintain the optimum selection by adaptively reconfiguring the directional subarrays using semi-definite programming. Simulation results validate the effectiveness of the proposed antenna selection strategy. © 1994-2012 IEEE.
ISSN: 1070-9908
DOI: 10.1109/LSP.2014.2370632