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|Title:||The role of regularization parameter of subspace-based optimization method in solving inverse scattering problems||Authors:||Ye, X.
|Issue Date:||2009||Citation:||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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