Novel priori-knowledge-free manoeuvring target-tracking method

• Main Authors: Jin-Peng Guo, Quan-Hua Liu, Jia Xu
• Format: Article
• Language: English
• Published: Wiley 2019-07-01
• Series: The Journal of Engineering
• Subjects: target tracking; polynomials; radar tracking; novel priori-knowledge-free manoeuvring target-tracking method; time-varying polynomial-function-based motion model; model order; manoeuvring situation; nonmanoeuvring situation
• Online Access: https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0156

In the past few decades, many manoeuvring target-tracking methods have been proposed. However, most of these methods require some priori knowledge about the target, which is hard to obtain in many scenarios. Here, a priori-knowledge-free (PKF) manoeuvring target-tracking method is proposed by introducing a time-varying polynomial-function-based motion model. The model order and coefficients are real-time estimated to guarantee a steady performance in both manoeuvring and non-manoeuvring situations. Numerical results are provided to validate the effectiveness of the proposed method.