Abstract
In conjugation with the method of moments, the Bayesian compressive sensing algorithm is utilized to fast analyze the monostatic electromagnetic scattering problem. Different from the orthogonal matching pursuit based compressive sensing approach that cannot determine the required measurement times, the proposed method overcomes the difficulty by adopting the Bayesian framework to recover the underlying signal. Error bars of the signal can be obtained in the recovery procedure, which offers a way to adaptively determine the number of compressive-sensing measurements.
Recommended Citation
H. H. Zhang et al., "Fast Monostatic Scattering Analysis Based On Bayesian Compressive Sensing," 2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017, article no. 7916425, Institute of Electrical and Electronics Engineers, May 2017.
The definitive version is available at https://doi.org/10.23919/ROPACES.2017.7916425
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Bayesian compressive sensing; Method of moments; Monostatic scattering
International Standard Book Number (ISBN)
978-099600783-2
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 May 2017
Comments
National Natural Science Foundation of China, Grant 61271158