Power interference removal based on particle swarm optimization
基于粒子群优化的工频干扰消除算法*

This paper proposed a power interference removal algorithm in weak signal collection based on particle swarm optimization. It gave the system model consistent with BSS mathematical model by constructing observation signal artificially, and uesd fourth-order cumulant for estimating independence of the signal, found the separation matrix maximizing the criterion using particle swarm optimization and then the power interference could be removed. In the process of particle swarm optimization, transformed direct identification of the separation matrix into identification of a series of Givens matrices and reduced the number of unknown elements, avoided the whiting process and reduced computational complexity. Synchronously, overcame premature convergence problem in process of particle swarm optimization. The simulation results show that the algorithm is useful in eliminating power interference in weak signal and the useful signal can be protected efficiently.