The progress of radar technology has brought strong support to science, technology and military. At present, China's radar technology is making continuous progress. One of the most important is the radar tracking technology. The tracking of radar system is a complex process. The simulation of radar target tracking algorithm mainly uses Matlab as the software, and uses the function model established by MATLAB to analyze it and obtain an ideal data set. This paper intends to improve the ability of radar target tracking by using association rules and algorithm optimization. In this paper, through experimental simulation and comparison, under the same experimental conditions, different algorithms have different tracking effects. The experimental results show that the shortest calculation time of EKF is 0.02, but the estimation accuracy is not high. PF has better performance in complex strong nonlinear and non Gaussian environments.

Yanchen Xing. Radar Target Tracking Algorithm Based on Association Rules. Machine Learning Theory and Practice (2021), Vol. 2, Issue 3: 28-35. https://doi.org/10.38007/ML.2021.020304.

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