Observable degree analysis for tracking
Xiao Hu Yang, Xinsheng Huang, Shengjian Bai, Qiang Fang, Xiabin Dong · 2013
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.