Adaptive Array Thinning for Enhanced DOA Estimation

Author

Xiangrong Wang ; Aboutanios, Elias ; Amin, Moeness G.

Author_Institution

Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia

Volume

22

Issue

7

fYear

2015

fDate

Jul-15

Firstpage

799

Lastpage

803

Abstract

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.

Keywords

adaptive antenna arrays; convex programming; direction-of-arrival estimation; directive antennas; mathematical programming; receiving antennas; CRB; Cramer-Rao Bound; DOA estimation; Dinklebach type algorithm; PSL; adaptive array thinning; antenna array configurations; antenna selection strategy; constrained isotropic arrays; convex relaxation; direction of arrival estimation; directional arrays; multiantenna receiver; peak sidelobe level; semidefinite programming; Antenna arrays; Arrays; Direction-of-arrival estimation; Directive antennas; Estimation; Signal processing algorithms; Antenna selection; Cramer-Rao bound; dinklebach algorithm; directional array; isotropic array;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2370632

Filename

6955794