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Sensors 2017, 17(3), 470; doi:10.3390/s17030470

Computationally Efficient 2D DOA Estimation with Uniform Rectangular Array in Low-Grazing Angle

1
Air and Missile Defense College, Air Force Engineering University, Xi’an 710051, China
2
Electronic information college, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
3
College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 13 December 2016 / Revised: 7 February 2017 / Accepted: 22 February 2017 / Published: 26 February 2017
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [845 KB, uploaded 26 February 2017]   |  

Abstract

In this paper, we propose a computationally efficient spatial differencing matrix set (SDMS) method for two-dimensional direction of arrival (2D DOA) estimation with uniform rectangular arrays (URAs) in a low-grazing angle (LGA) condition. By rearranging the auto-correlation and cross-correlation matrices in turn among different subarrays, the SDMS method can estimate the two parameters independently with one-dimensional (1D) subspace-based estimation techniques, where we only perform difference for auto-correlation matrices and the cross-correlation matrices are kept completely. Then, the pair-matching of two parameters is achieved by extracting the diagonal elements of URA. Thus, the proposed method can decrease the computational complexity, suppress the effect of additive noise and also have little information loss. Simulation results show that, in LGA, compared to other methods, the proposed methods can achieve performance improvement in the white or colored noise conditions. View Full-Text
Keywords: two-dimensional direction of arrival estimation; spatial differencing matrix set; low-grazing angle; information loss two-dimensional direction of arrival estimation; spatial differencing matrix set; low-grazing angle; information loss
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Shi, J.; Hu, G.; Zhang, X.; Sun, F.; Xiao, Y. Computationally Efficient 2D DOA Estimation with Uniform Rectangular Array in Low-Grazing Angle. Sensors 2017, 17, 470.

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