Fast Monostatic Scattering Analysis Based on Bayesian Compressive Sensing

Huan-Huan Zhang; Xun-Wang Zhao; Zhong-Chao Lin; Wei E. I. Sha

Authors

Huan-Huan Zhang The School of Electronic Engineering Xidian University, Xi'an, 710071, China
Xun-Wang Zhao The School of Electronic Engineering Xidian University, Xi'an, 710071, China
Zhong-Chao Lin The School of Electronic Engineering Xidian University, Xi'an, 710071, China
Wei E. I. Sha The Department of Electrical and Electronic Engineering The University of Hong Kong, Hong Kong, China

Keywords:

Bayesian compressive sensing, method of moments, monostatic, scattering

Abstract

The Bayesian compressive sensing algorithm is utilized together with the method of moments to fast analyze the monostatic electromagnetic scattering problem. Different from the traditional compressive sensing based fast monostatic scattering analysis method which cannot determine the required measurement times, the proposed method adopts the Bayesian framework to recover the underlying signal. Error bars of the signal can be obtained in the recovery procedure, which provides a means to adaptively determine the number of compressive-sensing measurements. Numerical results are given to demonstrate the accuracy and effectiveness of proposed method.

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