Sparse Method for Direction of Arrival Estimation Using Denoised Fourth-Order Cumulants Vector

Fourth-order cumulants (FOCs) vector-based direction of arrival (DOA) estimation methods of non-Gaussian sources may suffer from poor performance for limited snapshots or difficulty in setting parameters. In this paper, a novel FOCs vector-based sparse DOA estimation method is proposed. Firstly, by...

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Detalles Bibliográficos
Autores principales: Fan, Yangyu, Wang, Jianshu, Du, Rui, Lv, Guoyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021863/
https://www.ncbi.nlm.nih.gov/pubmed/29867047
http://dx.doi.org/10.3390/s18061815

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021863/
https://www.ncbi.nlm.nih.gov/pubmed/29867047
http://dx.doi.org/10.3390/s18061815

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