Parameter estimation of frequency hopping signal based on particle swarm optimization

To aim at parameter estimation of signal to noise ratio(SNR) and high variance in low SNR based on time frequency distribution,this paper proposed a novel algorithm based on multimodal particle swarm optimization(PSO).First decomposed frequency hopping signal to linear combination of time frequency atoms,and then obtained its parameter by matched atomic parameter.Simulation showed that PSO using specification algorithm could find all the atoms that matched with frequency hopping components.Compared with smoothed pseudo Wigner-Ville distribution,the designed algorithm has lower variance and is more suitable for the actual application of electronic countermeasure.