Communication Engineering

One-Dimensional DOA Estimation Based on Unitary Reconstructive Subspace

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  • 1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
    2. Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China;
    3. CASCO Signal Co., Ltd., Shanghai 200070, China;
    4. Shanghai Rail Transit Unmanned Train Control System Engineering and Technology Research Center, Shanghai 200434, China

Received date: 2022-04-23

  Online published: 2023-11-30

Abstract

To address the limitations of traditional multiple signal classification (MUSIC) algorithm, such as ineffective performance in low signal to noise ratio (SNR), small snapshots and low array number under small incident angle interval signals, we propose an improved algorithm called unitary reconstructed subspace MUSIC (URS-MUSIC). The proposed algorithm transforms the actual received signal of a uniform linear array from complex to real value using unitary transformation, then reconstructs subspaces and revised matrices to obtain new spatial spectrums based on the size of the subspace eigenvectors. The obtained spectrums are multiplied by the signal subspace projection (SSP) to realize direction of arrival (DOA) estimation. Simulation results demonstrate that URS-MUSIC outperforms both traditional and signal subspace projection algorithms with better resolution performance, especially under challenging conditions such as low SNR, small snapshots, and low array numbers.

Cite this article

JIN Yanliang, Lü Rukun, WANG Xiaoyong, ZHENG Guoxin . One-Dimensional DOA Estimation Based on Unitary Reconstructive Subspace[J]. Journal of Applied Sciences, 2023 , 41(6) : 926 -939 . DOI: 10.3969/j.issn.0255-8297.2023.06.002

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