Observable degree analysis for tracking

An analysis of the observable degree of two tracking system is presented. It is shown that through the method based on mutual information, we can calculate the exact degree of observability of the system states and determine the estimation performance of the extended kalman filter(EKF) and particle filter(PF). Simulation results demonstrate the validity of the method.