Particle Swarm Optimization Design of Digital Filters
Abstract: Aiming at the need of designing digital filters with finite length impulse response, a method of designing digital filters with particle swarm optimization is proposed. The particle swarm optimization algorithm is used to optimize the filter coefficients. Based on the mean square error minimization criterion and the maximum error minimization criterion, the optimization objective function is given, and the realization steps of the particle swarm optimization algorithm are designed. The program is used for simulation design, and the low-pass filter obtained by the optimized design meets the design requirements, indicating that the digital filter design based on particle swarm optimization is an effective design method.
Keywords: Particle swarm optimization, Digital filter, Coefficient optimization, Objective function
How to Cite?: WANG Wei, REN Mengmeng, WANG Li, "Particle Swarm Optimization Design of Digital Filters", Volume 9 Issue 7, July 2020, International Journal of Science and Research (IJSR), Pages: 976-979, https://www.ijsr.net/getabstract.php?paperid=SR20714201011, DOI: https://dx.doi.org/10.21275/SR20714201011