关键词:跳频信号; 参数估计; 粒子群; 多峰优化
Parameter estimation of frequency hopping signalbased on particle swarm optimization
GUO Jian-tao1, WANG Hong-yuan2, YU Ben-hai1
(1.College of Physics & Electronic Engineering, Xinyang Normal University, Xinyang Henan 464000, China; 2.Dept. of Electronics & Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China)
Abstract: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. ......