DOA Estimation Based on Weighted l<sub>1</sub>-norm Sparse Representation for Low SNR Scenarios

DOA Estimation Based on Weighted l<sub>1</sub>-norm Sparse Representation for Low SNR Scenarios

In this paper, a weighted l<sub>1</sub>-norm is proposed in a l<sub>1</sub>-norm-based singular value decomposition (L1-SVD) algorithm, which can suppress spurious peaks and improve accuracy of direction of arrival (DOA) estimation for the low signal-to-noise (SNR) scenarios....

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Bibliographic Details
Main Authors: Ming Zuo, Shuguo Xie, Xian Zhang, Meiling Yang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
direction of arrival (DOA) estimation
sparse representation
low signal to noise
weighted l<sub>1</sub>-norm
Online Access:https://www.mdpi.com/1424-8220/21/13/4614

Internet

https://www.mdpi.com/1424-8220/21/13/4614

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