Abstract:
An implicit space mapping algorithm was used to optimize dual
band bandpass microstrip filter working in WLAN and WiMAX band. The coarse and fine models were based on the commercial software agilent ADS and FEKO respectively. A set of maps between two models were established by choosing proper auxiliary parameters. In order to improve the convergence of the algorithms, a constrained parameter extraction idea was proposed. It can be applied to the implicit space mapping conveniently, and avoid the nonuniqueness of mapping through appropriate restrictions of the auxiliary parameters. It improves the convergence and robustness of the space mapping algorithm and so leads the optimization to the design goal efficiently. Take a dualband ringresonator bandpass microstrip filter design as an example, only after four optimization iterations the design requirements are meet. The optimized filter was fabricated and measured. Measurement results and simulation results matched well. It verified that the constrained implicit space mapping algorithm is an efficient method in the design of microstrip dualband bandpass filter.
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