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Sensors 2017, 17(3), 638; doi:10.3390/s17030638

DOA Estimation Based on Real-Valued Cross Correlation Matrix of Coprime Arrays

Array and information processing laboratory, College of computer and information, Hohai University, Nanjing 211100, China
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Academic Editors: Zhiguo Shi, Yujie Gu and Rongxing Lu
Received: 14 January 2017 / Revised: 23 February 2017 / Accepted: 17 March 2017 / Published: 20 March 2017
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Abstract

A fast direction of arrival (DOA) estimation method using a real-valued cross-correlation matrix (CCM) of coprime subarrays is proposed. Firstly, real-valued CCM with extended aperture is constructed to obtain the signal subspaces corresponding to the two subarrays. By analysing the relationship between the two subspaces, DOA estimations from the two subarrays are simultaneously obtained with automatic pairing. Finally, unique DOA is determined based on the common results from the two subarrays. Compared to partial spectral search (PSS) method and estimation of signal parameter via rotational invariance (ESPRIT) based method for coprime arrays, the proposed algorithm has lower complexity but achieves better DOA estimation performance and handles more sources. Simulation results verify the effectiveness of the approach. View Full-Text
Keywords: direction of arrival estimation; coprime arrays; cross-correlation matrix; pair matching direction of arrival estimation; coprime arrays; cross-correlation matrix; pair matching
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Li, J.; Wang, F.; Jiang, D. DOA Estimation Based on Real-Valued Cross Correlation Matrix of Coprime Arrays. Sensors 2017, 17, 638.

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