modelling of leo satellites trajectories and their tracking with extended kalman filter (ekf)& unscented kalmanfilter(ukf)

the radar tracking is one of the best leo satellite tracking methods. while the tracking filters which are mostly linear, and them are not able to have a precise estimation of the objects with nonlinear motion dynamic such as satellite, we should use nonlinear filters. in this paper , firstly, we deal with the problem of the leo satellites motion path modeling according to the satellite motion emulation with the cowell equations. then the observations will be separately fed to non-linear extended kalman filter as well as unscented kalman filter and with study the rms error position, estimation error, their performance for satellite tracking will be evaluated. simulation results demonstrate that notwithstanding neighbor behavior of ekf&ukf; filters, the ukf has better performance in terms of accuracy in comparison with the ekf