DOA estimation using multiple measurement vector model with sparse solutions in linear array scenarios

Abstract A novel algorithm is presented based on sparse multiple measurement vector (MMV) model for direction of arrival (DOA) estimation of far-field narrowband sources. The algorithm exploits singular value decomposition denoising to enhance the reconstruction process. The proposed multiple nature...

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Autores principales:	Seyyed Moosa Hosseini, R. A. Sadeghzadeh, Bal Singh Virdee
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	SpringerOpen 2017-03-01
Colección:	EURASIP Journal on Wireless Communications and Networking
Materias:	Compressed sensing Direction of arrival Multiple measurement vector Nonuniform linear array
Acceso en línea:	http://link.springer.com/article/10.1186/s13638-017-0838-y
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