Open AccessNovel priori‐knowledge‐free manoeuvring target‐tracking method
Author(s) -
Guo JinPeng,
Liu QuanHua,
Xu Jia
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0156
Subject(s) - a priori and a posteriori , tracking (education) , computer science , function (biology) , artificial intelligence , polynomial , control theory (sociology) , motion (physics) , mathematics , control (management) , epistemology , evolutionary biology , biology , psychology , mathematical analysis , pedagogy , philosophy
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.