Journal of Engineering and Applied Sciences
ISSN: Online 1818-7803ISSN: Print 1816-949x
Abstract
In this study, we present our contribution to the miniaturization of microstrip low-pass filters using the Particle Swarm Optimization algorithm (PSO). After the synthesis of two microstrip low-pass filters of order three and five by the Chebyshev approximation technique we adapted the PSO algorithm parameters to filter lowpass miniaturization problem. Two examples of low-pass filter were presented. The procedure we developed showed that the first filter obtained by the PSO algorithm has a length of 21 mm, so, a mainiaturisation of 21% compared to the Chybeshev technique and the second filter obtained by the algorithm has a length of 55.9 mm, so a miniaturization of 57.15% compared to the the Chybeshev technique.
How to cite this article:
Ahmed Hathat and Djamel Chikouche. Miniaturization of Microstrip Filters Using the Particle Swarm
Optimization Algorithm.
DOI: https://doi.org/10.36478/jeasci.2017.4284.4290
URL: https://www.makhillpublications.co/view-article/1816-949x/jeasci.2017.4284.4290