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Open AccessCommunication

A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays

by Fenggang Sun 1,2,†, Bin Gao 2, Lizhen Chen 1 and Peng Lan 1,*,†
1
College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, China
2
College of Communications Engineering, PLA University of Science and Technology, Nanjing 210007, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2016, 16(9), 1367; https://doi.org/10.3390/s16091367
Received: 7 July 2016 / Revised: 18 August 2016 / Accepted: 22 August 2016 / Published: 25 August 2016
(This article belongs to the Section Physical Sensors)
The problem of direction-of-arrival (DOA) estimation is investigated for co-prime array, where the co-prime array consists of two uniform sparse linear subarrays with extended inter-element spacing. For each sparse subarray, true DOAs are mapped into several equivalent angles impinging on the traditional uniform linear array with half-wavelength spacing. Then, by applying the estimation of signal parameters via rotational invariance technique (ESPRIT), the equivalent DOAs are estimated, and the candidate DOAs are recovered according to the relationship among equivalent and true DOAs. Finally, the true DOAs are estimated by combining the results of the two subarrays. The proposed method achieves a better complexity–performance tradeoff as compared to other existing methods. View Full-Text
Keywords: direction of arrival (DOA) estimation; co-prime array; ESPRIT; sparse array; equivalent DOAs direction of arrival (DOA) estimation; co-prime array; ESPRIT; sparse array; equivalent DOAs
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Sun, F.; Gao, B.; Chen, L.; Lan, P. A Low-Complexity ESPRIT-Based DOA Estimation Method for Co-Prime Linear Arrays. Sensors 2016, 16, 1367.

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