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Analog Active Filter Component Selection Using Genetic Algorithm

Authors :
Bachir Benhala
Izeddine Zorkani
Asmae El Beqal
Source :
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
Publication Year :
2020
Publisher :
Springer Singapore, 2020.

Abstract

In this paper, we highlight the optimal design of an active fourth-order band-pass filter for radio frequency identification (RFID) system reader to reject all signals outside the band (10–20) kHz and to amplify the low antenna signal with a center frequency of 15 kHz. The filter is designed to have a Butterworth response, and the topology that will be used to implement this filter is Sallen–Key. The values of the passive components are selected from manufactured series; thus, it is very exhaustive to search on all possible combinations of values from those series for an optimized design. The metaheuristics have proved a capacity to deal with such problem effectively. In this work, the metaheuristic genetic algorithm (GA) is applied for the optimal sizing of the fourth-order band-pass filter. SPICE simulations are used to validate the obtained results/performance.

Details

Database :
OpenAIRE
Journal :
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
Accession number :
edsair.doi...........457982fd27489564b811efbbea035e1c