Open AccessA New Variable Structure Multi-Model Target Tracking Algorithm
Author(s) -
Linxi Wang,
Xueyou Hu,
Xun Han,
Kuang Yin,
Yang Xiao
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1237/2/022016
Subject(s) - correctness , algorithm , tracking (education) , computer science , fuzzy logic , variable (mathematics) , filter (signal processing) , artificial intelligence , computer vision , mathematics , psychology , mathematical analysis , pedagogy
Maneuvering targets tracking technology has important research value in the fields of space target detection, civil aviation, ground traffic control and so on. To solve this problem, a new variable structure multi-model tracking algorithm based on fuzzy logic and strong tracking filter is proposed. The basic ideas of fuzzy logic inference and strong tracking filter are analyzed. An adaptive grid multi-model algorithm based on strong tracking filter and fuzzy interaction is established. The algorithm is also compared with generalized pseudo-Bayesian algorithm, interactive multi-model algorithm and traditional variable structure multi-model algorithm. The simulation results further prove the correctness and effectiveness of the proposed algorithm. Under the same simulation conditions, tracking performance of the proposed algorithm is significantly improved, and it has a higher cost-effectiveness ratio. Therefore, the proposed algorithm has a good application prospect in maneuvering target tracking.