Abstract: In order to improve the tracking accuracy of maneuvering targets and obtain more accurate real-time position and velocity information of the targets, an improved interactive multi-model tracking algorithm is proposed. Based on the traditional interactive multi-model, this algorithm introduces adjustment parameters associated with target features. The target feature data is used to provide a limited domain for the initial data, and then the adjustment parameters are added to the filter, so as to complete the optimization of the tracking accuracy by the iteration of the target state gain matrix and the covariance matrix. Experimental simulation analyzes three common states of maneuvering targets and compares them with traditional interactive multi-model tracking algorithms. The experimental results show that, when the deflection angles of the adjustment parameters of the algorithm are 4°, 2° and 1°, the mean root mean square errors are 15.91  m, 11.79 m and 11.39 m respectively, which are significantly better than the traditional algorithms mean value of 21.39 m. At the same time, with the improvement of parameter setting accuracy, it has a certain inhibitory effect on the error fluctuation caused by the maneuvering target state.

Key words: target tracking, interactive multi-model, target feature