Comparative Analysis of the Effect of Common Methods of Trajectory

In this paper, the tracking effects of pure tracking algorithm, Kalman filter algorithm, extended Kalman filter algorithm and particle filter algorithm are studied and analysed. Different algorithms are applied to track the two-dimensional straight track, two-dimensional curve track and three-dimensional curve track respectively, and the tracking effect is observed and error analysis is carried out. Finally, it is found that the pure tracking algorithm is relatively simple and easy to use. tracking algorithm is relatively simple and direct, but the effect is not as good as the Kalman filter algorithm in complex cases, while the extended Kalman filter algorithm can deal with nonlinear systems, but there are linear errors, and the particle filter algorithm can perform better for nonlinear and non-Gaussian systems, but the calculation amount is larger.