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Effective DirectionofArrival Estimation Algorithm by Exploiting Fourier Transform for Sparse Array
Zhenyu WEI Wei WANG Ben WANG Ping LIU Linshu GONG
Publication
IEICE TRANSACTIONS on Communications
Vol.E102B
No.11
pp.21592166 Publication Date: 2019/11/01
Online ISSN: 17451345
DOI: 10.1587/transcom.2018EBP3265
Type of Manuscript: PAPER Category: Antennas and Propagation Keyword: directionofarrival (DOA) estimation, fast Fourier transform (FFT), lowcomplexity, sparse arrays, spatial smoothing,
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Summary:
Sparse arrays can usually achieve larger array apertures than uniform linear arrays (ULA) with the same number of physical antennas. However, the conventional directionofarrival (DOA) estimation algorithms for sparse arrays usually require the spatial smoothing operation to recover the matrix rank which inevitably involves heavy computational complexity and leads to a reduction in the degreesoffreedom (DOFs). In this paper, a lowcomplex DOA estimation algorithm by exploiting the discrete Fourier transform (DFT) is proposed. Firstly, the spatial spectrum of the virtual array constructed from the sparse array is established by exploiting the DFT operation. The initial DOA estimation can obtain directly by searching the peaks in the DFT spectrum. However, since the number of array antennas is finite, there exists spectrum power leakage which will cause the performance degradation. To further improve the angle resolution, an iterative process is developed to suppress the spectrum power leakage. Thus, the proposed algorithm does not require the spatial smoothing operation and the computational complexity is reduced effectively. In addition, due to the extention of DOF with the application of the sparse arrays, the proposed algorithm can resolve the underdetermined DOA estimation problems. The superiority of the proposed algorithm is demonstrated by simulation results.

