| 基于交互多模型的水下目标跟踪方法(英文) |
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| 作者单位： | [1]Department of Electronic Engineering, Tsinghua University, Qinghuayuan, Beijing 10084, China [2]Department of Hydrography ＆ Cartography Engineering, Dalian Naval Academy, 667 Jiefang Road, Dalian 116018, China. |
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| 基金项目： | Supported by the National Natural Science Foundation of China （No.40067116）, the Research Development Foundation of Dalian Naval Academy （No.K200821）. |
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| 摘 要： | According to the requirements of real-time performance and reliability in underwater maneuvering target tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference （FIMM） is proposed. Maneuvering patterns of the target are represented by model sets, including the constant velocity model （CA）, the Singer mode~, and the nearly constant speed horizontal-turn model （HT） in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real-time performance of underwater target tracking can be improved by FIMM algorithm.
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| 关 键 词： | 交互多模型 水下目标 跟踪方法 空间信息 |
Method for underwater target tracking based on an interacting multiple model |
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| Authors: | Weiming Xu Yanchun Liu Xiaodong Yin |
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| Affiliation: | (1) Department of Electronic Engineering, Tsinghua University, Qinghuayuan, Beijing, 10084, China;(2) Department of Hydrography & Cartography Engineering, Dalian Naval Academy, 667 Jiefang Road, Dalian, 116018, China |
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| Abstract: | According to the requirements of real-time performance and reliability in underwater maneuvering tar-get tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference (FIMM) is proposed. Maneuvering patterns of the target are represented by model sets, including the constant velocity model (CA), the Singer model, and the nearly constant speed horizontal-turn model (HT) in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real-time performance of underwater target tracking can be improved by FIMM algorithm. |
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| Keywords: | underwater target tracking interacting multiple model fuzzy logic inference |
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