New Design Method of UWB Microstrip Filters Using Adaptive Genetic Algorithms with Defected Ground Structures

Amir Reza Dastkhosh, Gholamreza Dadashzadeh, Mohammad Hossein Sedaaghi
2010 International Journal of Microwave Science and Technology  
The effects of adaptive genetic algorithms (AGAs) and defected ground structures (DGSs) on performance optimization of tapered microstrip filter are investigated. The proposed structure achieves an ultra wide stopband with high attenuation within a small surface area, as well as 45% smaller size, in comparison with conventional filters. The parameters of the filter are optimized using in-home AGA code. In the proposed AGA algorithm, the crossover and mutation probabilities are adaptively
more » ... e adaptively changed according to the value of individual fitness. Then by utilizing the proposed DGS, a compact S-band lowpass filter with ultra-wide spurious free window is obtained. The proposed filter achieves an insertion loss of 0.8 dB from DC up to 4 GHz and 21 dB rejection in the stopband from 4.3 up to 60 GHz. The fabricated and measured results exhibit good agreement with the simulated results. They demonstrate that combining AGA and DGS yields best possible response for this group of filters.
doi:10.1155/2010/671515 fatcat:ivd7uw57pfbwnkevpfbw7n6uty