Abstract
To provide cost-effective communication systems for separate a signal into different frequency region and eliminate adverse signals and harmonics, Fuzzy Adaptive Modified particle swarm optimization (FAMPSO) method was used to have an optimized gain ripple of 6 th order elliptic low pass filter with 300 MHz cut-off frequency. The feasibility and effectiveness of the FAMPSO algorithm is demonstrated and results are compared with PSO algorithm. It is shown that FAMPSO has high quality solution, superior convergence characteristics and shorter computation time.
Highlights
Electronic-filter design, whether analog, digital, or distributed, is an essential part of many electrical engineers’ workdays [1,2,3,4,5,6]
The elliptic filter has an extremely sharp cutoff frequency which makes it ideally suited for filter design cases where there must be severe attenuation in frequencies just entering the stop band of the filter
An optimized algorithm based on PSO optimization method was proposed to find a minimum gain ripple for 6th order elliptic low pass filter
Summary
Electronic-filter design, whether analog, digital, or distributed, is an essential part of many electrical engineers’ workdays [1,2,3,4,5,6]. The low pass filters are used to eliminate adverse signals and harmonics [7]. One of the low pass filters is elliptic filter. An elliptic filter is a signal processing filter with equalized ripple behavior in both the pass band and the stop band [8,9]. The following figure 1 clearly has shown the characteristic of the even and odd orders low pass elliptic filter. The amount of the ripple in each band is independently adjustable, and no other filter of equal order can have a faster transition in given between the pass band and the stop band for the given values of ripple. The elliptic filter is an excellent candidate for a low pass filter where the amount of error needs to be minimized on both sides of the cutoff frequency.
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