A novel broadband equivalent source reconstruction method for broadband radiators

Traditional equivalent source reconstruction methods are only operating at a single frequency point each time. However, for wide band radiators, their computation cost of the source reconstruction increases linearly with the number of frequency points. In this paper, a wide-band equivalent source reconstruction method (WB-SRM) based on the Neville-type Stoer-Bulirsch (SB) algorithm is developed. Supported by the adaptive frequency sampling (AFS) scheme, the number of required sampling data is significantly reduced, which leads to much better computational efficiency. During the AFS process, three fitting models (FM) are considered: two are “triangle rules”, and another one is “rhombus rule”. The combination of these three FMs will result in different sampling schemes. In this paper, a bisection searching strategy is performed. Numerical examples are presented to validate the proposed WB-SRM and demonstrate its accuracy and applications.