Unscented fuzzy-controlled current statistic model and adaptive filtering for tracking maneuvering targets |
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| Authors: | Hongtao Hu Zhongliang Jing Shiqiang Hu |
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| Institution: | aInstitute of Aerospace Information and Control, School of Electrical and Information Engineering, Shanghai Jiao Tong University, Shanghai 200030, PR China |
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| Abstract: | A novel adaptive algorithm for tracking maneuvering targets is proposed. The algorithm is implemented with fuzzy-controlled current statistic model adaptive filtering and unscented transformation. A fuzzy system allows the filter to tune the magnitude of maximum accelerations to adapt to different target maneuvers, and unscented transformation can effectively handle nonlinear system. A bearing-only tracking scenario simulation results show the proposed algorithm has a robust advantage over a wide range of maneuvers and overcomes the shortcoming of the traditional current statistic model and adaptive filtering algorithm. |
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| Keywords: | Adaptive filtering Current statistical model Fuzzy system Unscented transformation Maneuvering target |
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