The application of particle swarm optimization to adaptive IIR phase equalization

This paper investigates the application of particle swarm optimization techniques to infinite impulse response (IIR) adaptive phase equalizers. Particle swarm optimization (PSO) is similar to the genetic algorithm (GA) in that it utilizes a population based search suitable for optimizing multimodal error surfaces where gradient-based algorithms tend to fail, such as those generated by IIR adaptive filters. This paper investigates PSO for the phase equalization of minimum phase surface acoustic wave (SAW) filters used in CDMA receivers.