NDLI: The role of regularization parameter of subspace-based optimization method in solving inverse scattering problems

Content Provider	IEEE Xplore Digital Library
Author	Xiuzhu Ye Xudong Chen
Copyright Year	2009
Description	Author affiliation: Department of Electrical and Computer Engineering, National University of Singapore, E4-05-45, 4 Engineering Drive 3, 117576, Singapore (Xiuzhu Ye; Xudong Chen)
Abstract	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.
Starting Page	1549
Ending Page	1552
File Size	599066
Page Count	4
File Format	PDF
ISBN	9781424428014
DOI	10.1109/APMC.2009.5384411
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-07
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Inverse problems Scattering Equations Permittivity Stability Drives Reconstruction algorithms Probes Antenna measurements regularization Inverse scattering ill condition
Content Type	Text
Resource Type	Article

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