The improved IMM tracking algorithm for high-speed maneuvering target

This paper proposes an improved interacting multi-model (IMM) tracking algorithm based on the adaptive Markov transition probability matrix, which can be utilized in radar systems for high-speed maneuvering target tracking. The Markov transition probability matrix can be adaptive adjusted according to different characteristics of target motion state and the Markov transition probability matrix can be dynamically regulated between different models. The Monte Carlo simulation is carried out by software, which shows that the tracking performance of the algorithm is superior to the traditional method of IMM.