Optimizing filter parameters using Particle Swarm Optimization

Filter designers often have to calculate the best parameters to suit the filter specifications. Software is typically used to help estimate those values, but sometimes the parameter combination cannot yield perfect results. Calculating the filter parameters using transfer functions would be more challenging with filter that have high orders. This project presents an application of a Particle Swarm Optimization algorithm (PSO) for designing high order filter. The proposed algorithm was successfully applied on a six-order elliptic filter, and has been shown to work well.