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.
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El Beqal, A., Benhala, B., Zorkani, I. (2020). Analog Active Filter Component Selection Using Genetic Algorithm. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_16
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DOI: https://doi.org/10.1007/978-981-15-0947-6_16
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