Analyze gravity tide signal based on ICA with PSO
Qiaoyan Li, Haiyan Quan · 2015
Independent Component Analysis (ICA) is used to separate the relatively independent signals from the source. Gravity tide signal is a mixed signal which is caused by the moon and the sun, so ICA is applied to separate gravity tide signal in this paper. Because of the slowly convergence speed and local search for the target in ICA, Particle Swarm Optimization which could find target globally and quickly is proposed to search the optical target in ICA. Simulation results show that the method proposed in this paper solves the problem presented in ICA and separates gravity tide signal into three parts. Every part represents the signal which is corresponding to the theory frequencies of the harmonic component in gravity tide signal. So the method proposed in the paper can divide the signal into three parts which is corresponding to harmonic component automatically.