Adaptive Grid Refinement Method for DOA Estimation via Sparse Bayesian Learning
Author:
Affiliation:
1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China
2. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, China
Funder
National Natural Science Foundation of China
Open Funding Project of Key Laboratory of Marine Environmental Survey Technology and Application
Ministry of Natural Resources
Basic and Applied Basic Research Foundation of Guangdong Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Mechanical Engineering,Ocean Engineering
Link
http://xplorestaging.ieee.org/ielx7/48/10183384/10089987.pdf?arnumber=10089987
Reference45 articles.
1. Grid Evolution Method for DOA Estimation
2. Bayesian Compressive Sensing Using Laplace Priors
3. Root Sparse Bayesian Learning for Off-Grid DOA Estimation
4. Sparse Bayesian Learning for Basis Selection
5. Greed is Good: Algorithmic Results for Sparse Approximation
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