Combined Message Passing Based SBL With Dirichlet Process Prior for Sparse Signal Recovery With Multiple Measurement Vectors

Combined Message Passing Based SBL With Dirichlet Process Prior for Sparse Signal Recovery With Multiple Measurement Vectors

This paper concerns the problem of sparse signal recovery with multiple measurement vectors, where the sparse signal vectors share multiple supports (i.e., the signal vectors can be clustered and the vectors in a cluster share a common support) and the prior knowledge on the supports of the vectors...

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Bibliographic Details
Main Authors: Zhengdao Yuan, Chuanzong Zhang, Qinghua Guo, Zhongyong Wang, Xinhua Lu, Sheng Wu
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Channel estimation
Dirichlet process
massive MIMO
message passing
sparse Bayesian learning
sparse common support
Online Access:https://ieeexplore.ieee.org/document/8303658/

Internet

https://ieeexplore.ieee.org/document/8303658/

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