The Role of Regularization Parameter of Subspace-based Optimization Method in Solving Inverse Scattering Problems

被引：0

作者：

Ye, Xiuzhu ^{[1
]}

Chen, Xudong ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 117576, Singapore

来源：

APMC: 2009 ASIA PACIFIC MICROWAVE CONFERENCE, VOLS 1-5 | 2009年

关键词：

Inverse scattering; ill condition; regularization;

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：

This paper investigates a regularization scheme in the recently proposed subspace-based optimization method for solving inverse scattering problems. The number of leading singular values of a current-to-field mapping operator is found to balance the accuracy and the stability of the solution. If the number of leading singular values is chosen as a large number, the noise is amplified in the inverse process. On the other hand, if this parameter is chosen to be a small number, the convergence of the optimization method will be slow. This paper investigates the method of choosing the number of leading singular values of the current-to-field mapping operator.

引用

页码：1549 / 1552

页数：4

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