Computationally Efficient DOA Estimation for Massive Uniform Linear Array

Shiaw-Wu CHEN
Ann-Chen CHANG

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E103-A    No.1    pp.361-365
Publication Date: 2020/01/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.2019EAL2107
Type of Manuscript: LETTER
Category: Digital Signal Processing
direction of arrival,  massive MIMO,  discrete Fourier transform,  virtual array,  signal subspace,  Taylor series expansion,  

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This letter presents an improved hybrid direction of arrival (DOA) estimation scheme with computational efficiency for massive uniform linear array. In order to enhance the resolution of DOA estimation, the initial estimator based on the discrete Fourier transform is applied to obtain coarse DOA estimates by a virtual array extension for one snapshot. Then, by means of a first-order Taylor series approximation to the direction vector with the one initially estimated in a very small region, the iterative fine estimator can find a new direction vector which raises the searching efficiency. Simulation results are provided to demonstrate the effectiveness of the proposed scheme.