Component Spread Minimization for Integrated Active-RC Filter Using Genetic Algorithm Optimization Technique

Abstract

The most important challenge in the analog integrated fitter design is the selecting the proper values of the filter components, and particularly the realization of the big value of the inductor in the applications that required low frequencies such as biomedical (medical) applications. This paper analyze and design integrated active low pass filter of Chebyshev third and fifth order based on the concept of Frequency Dependent Negative Resistance (FDNR) as substitutional to inductors. The design parameters of this filter has been optimized using genetic algorithm by selecting the optimum component speared of the filter. The genetic algorithm (GA) technique using MATLAB is applied to obtain the optimum component spreads and a significant reduction in component spreads are obtained, RSpread ≈ 86, and CSpread ≈ 2. Advance Design system simulator program (ADS) is used to verify that the obtained optimum parameters satisfy the specified filter performance. It is also shown that this technique is useful as the required filter order increased that leads to increase the component spread.