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Sensors 2017, 17(1), 190; doi:10.3390/s17010190

A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array

1
School of Electrical and Information Engineering, Tianjin University, 92 Weijin Road, Tianjin 300072, China
2
Key Laboratory of Electronic Information Countermeasure and Simulation Technology, Ministry of Education, Xidian University, Xi’an 710071, China
3
School of Software, Qufu Normal University, Qufu 273165, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 8 December 2016 / Revised: 6 January 2017 / Accepted: 12 January 2017 / Published: 19 January 2017
(This article belongs to the Section Physical Sensors)
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Abstract

In this paper, a new low-complexity method for two-dimensional (2D) direction-of-arrival (DOA) estimation is proposed. Based on a cross-correlation matrix formed from the L-shaped array, the proposed algorithm obtains the automatic pairing elevation and azimuth angles without eigendecomposition, which can avoid high computational cost. In addition, the cross-correlation matrix eliminates the effect of noise, which can achieve better DOA performance. Then, the theoretical error of the algorithm is analyzed and the Cramer–Rao bound (CRB) for the direction of arrival estimation is derived . Simulation results demonstrate that, at low signal-to-noise ratios (SNRs) and with a small number of snapshots, in contrast to Tayem’s algorithm and Kikuchi’s algorithm, the proposed algorithm achieves better DOA performance with lower complexity, while, for Gu’s algorithm, the proposed algorithm has slightly inferior DOA performance but with significantly lower complexity. View Full-Text
Keywords: low-complexity; 2D DOA estimation; L-shaped array; automatic pairing; theoretical analysis; Cramer–Rao bound low-complexity; 2D DOA estimation; L-shaped array; automatic pairing; theoretical analysis; Cramer–Rao bound
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Wang, Q.; Yang, H.; Chen, H.; Dong, Y.; Wang, L. A Low-Complexity Method for Two-Dimensional Direction-of-Arrival Estimation Using an L-Shaped Array. Sensors 2017, 17, 190.

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