Efficient Underdetermined Wideband DOA Estimation Based on Single Uniform Linear Array

An efficient underdetermined wideband direction-of-arrival (DOA) estimation method using a single uniform linear array (ULA) is proposed. The subband model is first obtained by applying frequency decomposition manner to the received signals. Then, apart from averaging subband DOA estimation results by employing narrowband sparse iterative covariance estimation (SPICE), a joint weighting wideband sparse iterative covariance estimation (JW-WSPICE) method is introduced by leveraging the information from multiple interesting subbands jointly. Compared to existing group-sparsity-based wideband DOA estimation methods, similar performance can be achieved while the selection of hyperparameter via a time-wasting search process is avoided.

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Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10869176
Citations
1
Primary Topic
Advanced Adaptive Filtering Techniques
Type
article
Field-Weighted Citation Impact
0.37

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Efficient Underdetermined Wideband DOA Estimation Based on Single Uniform Linear Array

Yizhe Wang, Bohong Shu, Chenxi Liao, Qing Shen et al.
1 citations
Advanced Adaptive Filtering Techniques
0.37
article

Efficient Underdetermined Wideband DOA Estimation Based on Single Uniform Linear Array

Yizhe Wang, Bohong Shu, Chenxi Liao, Qing Shen, Min Wang
article en
1 citations

Abstract

An efficient underdetermined wideband direction-of-arrival (DOA) estimation method using a single uniform linear array (ULA) is proposed. The subband model is first obtained by applying frequency decomposition manner to the received signals. Then, apart from averaging subband DOA estimation results by employing narrowband sparse iterative covariance estimation (SPICE), a joint weighting wideband sparse iterative covariance estimation (JW-WSPICE) method is introduced by leveraging the information from multiple interesting subbands jointly. Compared to existing group-sparsity-based wideband DOA estimation methods, similar performance can be achieved while the selection of hyperparameter via a time-wasting search process is avoided.

University of Technology Sydney (AU), Beijing Institute of Technology (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 39%
Advanced Adaptive Filtering Techniques
0.37
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Efficient Underdetermined Wideband DOA Estimation Based on Single Uniform Linear Array — Yizhe Wang, Bohong Shu, et al. · (2024) | TGRS Research Map | TGRS