A low-complexity 2-D DOA estimation method for incoherently distributed sources

The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (U...

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Bibliographic Details
Published in:	2016 CIE International Conference on Radar (RADAR) pp. 1 - 5
Main Authors:	Qingqing Lin, Ping Shuai, Liangwei Huang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.10.2016
Subjects:	Computational complexity Covariance matrices direction-of-arrival (DOA) Direction-of-arrival estimation Estimation Geometry Incoherently distributed (ID) sources propagator Three-dimensional displays Two dimensional displays two-dimensional (2-D) uniform linear array
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Summary:	The two-dimensional (2-D) direction-of-arrival (DOA) estimation for incoherently distributed (ID) sources always has a high computational complexity because it depends on multidimensional search. To reduce the complexity, we propose a new method based on three closely parallel unity linear arrays (ULAs). This method derives the approximation of three received ULA vectors under small angular extension from first-order Taylor approximation. The derived vector approximations are rotationally invariant, which enables one to estimate 2-D DOAs of ID sources via propagator. This procedure is more efficient because no multidimensional search or eigen-decomposition is needed. Simulation results testify to the performance of the proposed method.
DOI:	10.1109/RADAR.2016.8059248