Studies on Tracking of Optoelectronic Target Algorithm Based on AEPF

In the tracking and orientation of optoelectronic targets,a new nonlinear Adaptive Extended Kalman Particle filtering (AEPF) algorithm based on Current Statistical model was proposed,due to nonlinear character of the system connect with the excellence of the Extended Kalman filtering and the Particle filtering. It expressed variation of acceleration with the information of position and angle to carry out self-adaption,and eliminated random error and noise variance to elevate the accuracy of tracking. Analytic results of Monte Carlo simulation prove the AEPF algorithm is right and feasible,and the accuracy and the stability are both improved. It has better performance than the traditional EKF,PF,EPF algorithms. The method has afforded a new application to the tracking and orientation of optoelectronic targets.