Design and analysis of improved fractional order Butterworth lowpass filters

In this paper, the genetic algorithm is used to improve the performance of fractional order lowpass filters with Butterworth approximation. This improvement is obtained by using the coefficient optimization and suitable scaling to approximate the ideal frequency response. Further, the error analysis of the designed and the existing filters with the performance of ideal ones is given to see the effectiveness of this optimization technique in the improvement of performance of designed filters over the existing filters in both, the passband and the stopband.