Authors : Ahmed Hathat and Djamel Chikouche
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.
Ahmed Hathat and Djamel Chikouche, 2017. Miniaturization of Microstrip Filters Using the Particle Swarm Optimization Algorithm. Journal of Engineering and Applied Sciences, 12: 4284-4290.