Injection Signal Detection Based on PSO-Optimized Extended Kalman Filter

In the condition monitoring of ship cables, in order to improve the accuracy of the mixing injection method in cable current detection, this paper proposes the PSO-EKF method for state estimation. We optimize the state covariance matrix and process noise variance of the extended Kalman filter by particle swarm optimization algorithm, which solves the problem that the EKF is challenging to select the optimal covariance matrix. The experimental results show that the particle swarm optimization extended Kalman detection tracking effect has been dramatically improved compared with the traditional Kalman.