DocumentCode
2384860
Title
Bayesian compressive sensing for adaptive measurement of radar signal
Author
Wang, Wei ; Zhang, Baoju
Author_Institution
Coll. of Phys. & Electron. Inf., Tianjin Normal Univ., Tianjin, China
fYear
2012
fDate
10-15 June 2012
Firstpage
6367
Lastpage
6370
Abstract
The theory of Bayesian Compressive Sensing is briefly introduced. An evaluation index based on differential entropy of estimated signal is devised and the adaptive compressive measurement procedure without any prior information about the measured signals is presented in block manner. Numerical simulations on random step signal and real radar signal verify that the adaptive algorithm has good performance. This novel offers great potential for adaptive compressive measuring real time signal.
Keywords
Bayes methods; adaptive signal processing; compressed sensing; entropy; numerical analysis; radar signal processing; Bayesian compressive sensing; adaptive algorithm; adaptive compressive measurement procedure; entropy; radar signal adaptive measurement; random step signal; real time signal; Bayesian methods; Biomedical measurements; Compressed sensing; Educational institutions; Indexes; Radar measurements; Bayesian compressive sensing; adaptive measurement; radar signal; sparsity;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2012 IEEE International Conference on
Conference_Location
Ottawa, ON
ISSN
1550-3607
Print_ISBN
978-1-4577-2052-9
Electronic_ISBN
1550-3607
Type
conf
DOI
10.1109/ICC.2012.6364765
Filename
6364765
Link To Document