Underdetermined Blind Source Separation of FSK Signal Based on Particle Swarm Optimization

摘要

It's likely undetermined case that the observed signal is less than the number of source number, while the FSK signal of track circuit is mixed with a variety of interference signal. The traditional independent component analysis (ICA) cannot separate source signals. The article separate source signals use the algorithm of FSK signal underdetermined blind separation based on particle swarm optimization. Finally through the computer simulation, it show this method can effectively separate the FSK signal interference signals, and have good separation performance.