Comparative Study on Application of Extended Kalman Filter and Unscented Kalman Filter in Target Tracking
Xiao-Tong Hu Xiao-Fei Deng, Si-Qi Zhao Qin Guo Cui-Xia Zeng, Kai-Qing Zhou · IOP Conference Series Materials Science and Engineering · 2020
Abstract This paper mainly describes the basic principles of extended Kalman filter and unscented Kalman filter and the application of them in target tracking based on observation distance At last the two algorithms are compared by Matlab software The simulation results show that unscented Kalman filter has better matching effect than extended Kalman filter and the former has smaller error variation and better convergence than the latter