Constrained Optimization Design of FIR Filter Based on Particle Swarm Optimization

The digital filter is an important device for the wireless communication system. This paper first introduces the principles of constrained least squares (CLS) and particle swarm optimization (PSO) algorithms, then gives the design index requirements of the filter and the feasible PSO adaptation value function, and then proposes a specific implementation algorithm for the PSO design filter. Finally, simulations are performed to study the effects of PSO algorithm parameters and the adaptation value function on the filter performance, and better algorithm parameters are derived, and a digital filter is designed accordingly to meet the index requirements.