Adaptive parameter identification tracking based on particle filter for airborne laser communication

Airborne laser communication has became the main way of large capacity space communication for the future, high precision dynamic tracking system of airborne platform has already been one of the most difficult problem. In order to resolve the diversity of maneuvering forms for airborne platform, adaptive parameter identification with particle filter was put forward in the paper, in the continuous time domain, parameter identification model based on three order linear differential equation was applied to describe the motion of airborne laser platform, which can cover a wide variety of motion modes, the particle filter can deal with nonlinear/non-Gaussian problems, it can be introduced into parameter identification model. The results show that this algorithm can improve the convergence precison, which have some significance in engineering application.