Author(s)

Han Wenqian

Corresponding Author

Han Wenqian

Abstract

This paper conducts research on the field of the target tracking. Maneuvering targets tracking are of great significance in both military and civilian fields. First, this paper expounds on the key concepts and algorithms in this field. And we discuss the types of target motion and the classification of tracking algorithms. Second, we introduce the Kalman filter (KF) and its subsequent development, as well as the advantages and disadvantages of various algorithms. Third, we provide the detailed explanations of the multiple model (MM) algorithm, including the fixed structure of interacting multiple model (FIMM) algorithm and the variable structure of interacting multiple (VSIMM) model algorithm. Finally, the article sums up the evolution of maneuvering target tracking algorithms. It systematically outlines the content expounded earlier. Meanwhile, it looks ahead to the future development of algorithms in the field of maneuvering target tracking. For instance, by integrating with the artificial intelligence field and developing new sensors, the maneuvering target algorithms can be upgraded and improved. And this paper provides a theoretical reference for further research and applications in this field.

Keywords

Target tracking, Kalman filter, interacting multiple model algorithm, variable structure of interacting multiple model algorithm