2005 | OriginalPaper | Buchkapitel
Unscented Fuzzy Tracking Algorithm for Maneuvering Target
verfasst von : Shi-qiang Hu, Li-wei Guo, Zhong-liang Jing
Erschienen in: Fuzzy Systems and Knowledge Discovery
Verlag: Springer Berlin Heidelberg
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A novel adaptive algorithm for tracking maneuvering targets is proposed in this paper. The algorithm is implemented with fuzzy filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers. Unscented transformation act as a method for calculating the statistics of a random vector. A bearing-only tracking scenario simulation results show the proposed algorithm has a robust advantage over a wide range of maneuvers.