Sparse Bayesian Learning for DOA Estimation with Mutual Coupling

Sparse Bayesian learning (SBL) has given renewed interest to the problem of direction-of-arrival (DOA) estimation. It is generally assumed that the measurement matrix in SBL is precisely known. Unfortunately, this assumption may be invalid in practice due to the imperfect manifold caused by unknown...

Descripción completa

Detalles Bibliográficos
Autores principales: Dai, Jisheng, Hu, Nan, Xu, Weichao, Chang, Chunqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634432/
https://www.ncbi.nlm.nih.gov/pubmed/26501284
http://dx.doi.org/10.3390/s151026267

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4634432/
https://www.ncbi.nlm.nih.gov/pubmed/26501284
http://dx.doi.org/10.3390/s151026267

Ejemplares similares