A novel refined track initiation algorithm for group targets based on group model

Gao, Fei; Ren, He; Wang, Jun; Hussain, Amir; Durrani, Tariq S.

Abstract

Traditional refined track initiation methods for group targets have mistakes or loss of tracks when tracking irregular motions, for the reason that they rely on a stable relative position of group members. To solve the problem, a group dynamic model was introduced for proposing a new initiation algorithm and its whole framework. We made a self-adaptive improvement of the group separation on various group radii. After the pre-association of these groups, a state equation derived from the model was used for predictions of group members. Then a relational matrix was defined for refined data associations. Finally tracks were validated by logic-based method. Particular scenarios and Monte Carlo simulations showed that, compared with algorithms based on relative position, this algorithm has better performance on the adaptability to changes of a group structure and the correctness of initiation.

• Journal Article Type: Article
• Publication Date: 2014
• Deposit Date: Sep 27, 2019
• Journal: Chinese Journal of Electronics
• Print ISSN: 1022-4653
• Electronic ISSN: 2075-5597
• Peer Reviewed: Peer Reviewed
• Volume: 23
• Issue: 4
• Pages: 851-856
• Keywords: Group targets, Track initiation, Group model, State equation, Data association
• Public URL: http://researchrepository.napier.ac.uk/Output/1793006
• Related Public URLs: http://www.ejournal.org.cn/Jweb_cje/EN/volumn/volumn_1350.shtml