DOA Estimation Based on Weighted l(1)-norm Sparse Representation for Low SNR Scenarios

In this paper, a weighted l(1)-norm is proposed in a l(1)-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. The weighted matrix is determined by opti...

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Detalles Bibliográficos
Autores principales: Zuo, Ming, Xie, Shuguo, Zhang, Xian, Yang, Meiling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271406/
https://www.ncbi.nlm.nih.gov/pubmed/34283168
http://dx.doi.org/10.3390/s21134614

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8271406/
https://www.ncbi.nlm.nih.gov/pubmed/34283168
http://dx.doi.org/10.3390/s21134614

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