Novel priori-knowledge-free manoeuvring target-tracking method

摘要

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.