Direction-of-Arrival Estimation From a Mixture of Linear and Magnitude-Only Measurements

We address the issue of direction-of-arrival (DOA) estimation by utilizing both linear and magnitude-only (phaseless) measurements. We formulate the DOA estimation problem as an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$l_{2,1}$</tex-math></inline-formula> norm minimization problem by exploiting joint sparsity among the multi-snapshot measurements. We propose an algorithm based on the alternating direction method of multipliers (ADMM) in which both subproblems admit closed-form solutions. The proposed approach does not require any reference signals. Simulation results demonstrate that combining outputs of conventional antennas with magnitude-only antennas significantly improves the accuracy of DOA estimation, and the proposed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$l_{2,1}$</tex-math></inline-formula>-ADMM algorithm outperforms the existing methods.

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Publication Details

Journal
IEEE Transactions on Vehicular Technology
Published
2025-09-03
DOI
https://doi.org/10.1109/tvt.2025.3605470
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
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article

Direction-of-Arrival Estimation From a Mixture of Linear and Magnitude-Only Measurements

Weijian Chen, Zhiqiang Wei, Zai Yang
IEEE Transactions on Vehicular Technology
Speech and Audio Processing
article

Direction-of-Arrival Estimation From a Mixture of Linear and Magnitude-Only Measurements

Weijian Chen, Zhiqiang Wei, Zai Yang
article en

Abstract

We address the issue of direction-of-arrival (DOA) estimation by utilizing both linear and magnitude-only (phaseless) measurements. We formulate the DOA estimation problem as an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$l_{2,1}$</tex-math></inline-formula> norm minimization problem by exploiting joint sparsity among the multi-snapshot measurements. We propose an algorithm based on the alternating direction method of multipliers (ADMM) in which both subproblems admit closed-form solutions. The proposed approach does not require any reference signals. Simulation results demonstrate that combining outputs of conventional antennas with magnitude-only antennas significantly improves the accuracy of DOA estimation, and the proposed <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$l_{2,1}$</tex-math></inline-formula>-ADMM algorithm outperforms the existing methods.

IEEE Transactions on Vehicular TechnologyVol. 75(2)
Xi'an Jiaotong University (CN)
Openalex Percentile: Top 71%
Speech and Audio Processing
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