Fast Monostatic Scattering Analysis Based on Bayesian Compressive Sensing

被引：0
|
作者：
Zhang, Huan Huan [1 ]
Sha, Wei E. I. [2 ]
Jiang, Li Jun [2 ]
机构：
[1] Xidian Univ, Sch Elect Engn, Xian, Shaanxi, Peoples R China
[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
来源：
2017 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM - ITALY (ACES) | 2017年
关键词：
Monostatic scattering; method of moments; Bayesian compressive sensing;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
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页数：2
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