Please use this identifier to cite or link to this item: https://doi.org/10.1109/APMC.2009.5384411
Title: The role of regularization parameter of subspace-based optimization method in solving inverse scattering problems
Authors: Ye, X.
Chen, X. 
Keywords: Ill condition
Inverse scattering
Regularization
Issue Date: 2009
Source: Ye, X.,Chen, X. (2009). The role of regularization parameter of subspace-based optimization method in solving inverse scattering problems. APMC 2009 - Asia Pacific Microwave Conference 2009 : 1549-1552. ScholarBank@NUS Repository. https://doi.org/10.1109/APMC.2009.5384411
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. ©2009 IEEE.
Source Title: APMC 2009 - Asia Pacific Microwave Conference 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/71995
ISBN: 9781424428021
DOI: 10.1109/APMC.2009.5384411
Appears in Collections:Staff Publications

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