Cargando…
Augmented Lagrange Based on Modified Covariance Matching Criterion Method for DOA Estimation in Compressed Sensing
A novel direction of arrival (DOA) estimation method in compressed sensing (CS) is presented, in which DOA estimation is considered as the joint sparse recovery from multiple measurement vectors (MMV). The proposed method is obtained by minimizing the modified-based covariance matching criterion, wh...
Autores principales: | Si, Weijian, Qu, Xinggen, Liu, Lutao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3942388/ https://www.ncbi.nlm.nih.gov/pubmed/24678272 http://dx.doi.org/10.1155/2014/241469 |
Ejemplares similares
-
Off-Grid DOA Estimation Using Alternating Block Coordinate Descent in Compressed Sensing
por: Si, Weijian, et al.
Publicado: (2015) -
A Modified Rife Algorithm for Off-Grid DOA Estimation Based on Sparse Representations
por: Chen, Tao, et al.
Publicado: (2015) -
DOA Estimation for Underwater Wideband Weak Targets Based on Coherent Signal Subspace and Compressed Sensing
por: Li, Jun, et al.
Publicado: (2018) -
Double-Layer Compressive Sensing Based Efficient DOA Estimation in WSAN with Block Data Loss
por: Sun, Peng, et al.
Publicado: (2017) -
A Robust DOA Estimator Based on Compressive Sensing for Coprime Array in the Presence of Miscalibrated Sensors
por: Kou, Jiaxun, et al.
Publicado: (2019)