Paper
20 January 2021 DOA estimation in sparse array based on matrix completion
Author Affiliations +
Proceedings Volume 11719, Twelfth International Conference on Signal Processing Systems; 117190M (2021) https://doi.org/10.1117/12.2581218
Event: Twelfth International Conference on Signal Processing Systems, 2020, Shanghai, China
Abstract
This paper presents a novel matrix completion algorithm, penalty decomposition method based augmented Lagrange multipliers (PD-ALM), to improve the performance of Direction Of Arrival (DOA) in sparse array. In PD-ALM algorithm, we apply the penalty decomposition method to solve low-rank matrix completion problem directly. Firstly, we reconstruct a low rank matrix using the special structure of received signals of uniform linear array (ULA). Then, PD-ALM algorithm is used to complete the received signals of the sparse array. Finally, we apply Multiple Signal Classification (MUSIC) algorithm to estimate direction of arrival. The numerical experiments are provided to validate the effectiveness of the proposed algorithm.
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Jinying Gao, Yibin Rui, Yuan Gao, and Yuhang Li "DOA estimation in sparse array based on matrix completion", Proc. SPIE 11719, Twelfth International Conference on Signal Processing Systems, 117190M (20 January 2021); https://doi.org/10.1117/12.2581218
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KEYWORDS
Signal to noise ratio

Chemical elements

Detection and tracking algorithms

Statistical analysis

Computer simulations

Lithium

Radar

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