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.

Department(s)

Electrical and Computer Engineering

Comments

National Natural Science Foundation of China, Grant 61271158

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

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