Performances comparison on nonlinear filtering algorithms
Tan Xin · Electronic Design Engineering · 2011
With the goal of the diversity and complexity of motion,nonlinear target tracking of radar is paid more and more attention.This paper present the main algorithms of the nonlinear filter extended Kalman filter,Unscented Kalman filter,particle filter the filter model,applicable conditions,performance is analyzed and compared,a non-linear and non-Gaussian model was simulated to verify the performance of these algorithms,simulation results show that the particle filter under nonlinear conditions is much better than the other two filtering algorithms.