Combination of ultra-wide band characteristic ba-sis function method and improved adaptive model-based parameter estimation in MoM solution (invited)

An efficient technique which combines the ultra-wide band characteristic basis function method (UCBFM) and the improved adaptive model-based parameter estimation (IA-MBPE) is introduced for analyzing the wide band electromagnetic scattering problems. The ultra-wide band characteristic basis functions (UCBFs) are generated from characteristic basis functions at the highest frequency in the range of interest. These UCBFs are also available for the entire band. The IA-MBPE is the application of improved adaptive sampling algorithm (IASA) in MBPE. The high sampling efficiency in IASA is realized through extending the regions of searching for the sampling points from one to two simultaneously with the help of parallel computation algorithm. The combination of UCBFM and IA-MBPE results in significant enhancement of computational efficiency reduction in MoM solution. Numerical results from two examples of wide band frequency responses of monostatic RCSs validate the proposed method.