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Sensors 2016, 16(3), 274; doi:10.3390/s16030274

Fast 2D DOA Estimation Algorithm by an Array Manifold Matching Method with Parallel Linear Arrays

The State Key Laboratory of Aircraft Tracking Telemetering Command and Communication, Chongqing University, Chongqing 400044, China
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Author to whom correspondence should be addressed.
Academic Editor: Vittorio M.N. Passaro
Received: 4 November 2015 / Revised: 17 January 2016 / Accepted: 1 February 2016 / Published: 23 February 2016
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, the problem of two-dimensional (2D) direction-of-arrival (DOA) estimation with parallel linear arrays is addressed. Two array manifold matching (AMM) approaches, in this work, are developed for the incoherent and coherent signals, respectively. The proposed AMM methods estimate the azimuth angle only with the assumption that the elevation angles are known or estimated. The proposed methods are time efficient since they do not require eigenvalue decomposition (EVD) or peak searching. In addition, the complexity analysis shows the proposed AMM approaches have lower computational complexity than many current state-of-the-art algorithms. The estimated azimuth angles produced by the AMM approaches are automatically paired with the elevation angles. More importantly, for estimating the azimuth angles of coherent signals, the aperture loss issue is avoided since a decorrelation procedure is not required for the proposed AMM method. Numerical studies demonstrate the effectiveness of the proposed approaches. View Full-Text
Keywords: 2D DOA estimation; array manifold matching; parallel linear arrays; automatic pairing 2D DOA estimation; array manifold matching; parallel linear arrays; automatic pairing
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Yang, L.; Liu, S.; Li, D.; Jiang, Q.; Cao, H. Fast 2D DOA Estimation Algorithm by an Array Manifold Matching Method with Parallel Linear Arrays. Sensors 2016, 16, 274.

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