Direction of Arrival Estimation in Elliptical Models via Sparse Penalized Likelihood Approach

In this paper, an [Formula: see text]-penalized maximum likelihood (ML) approach is developed for estimating the directions of arrival (DOAs) of source signals from the complex elliptically symmetric (CES) array outputs. This approach employs the [Formula: see text]-norm penalty to exploit the spars...

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Detalles Bibliográficos
Autores principales: Chen, Chen, Zhou, Jie, Tang, Mengjiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566714/
https://www.ncbi.nlm.nih.gov/pubmed/31121894
http://dx.doi.org/10.3390/s19102356

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6566714/
https://www.ncbi.nlm.nih.gov/pubmed/31121894
http://dx.doi.org/10.3390/s19102356

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