| 基于模糊自适应IMM算法的机动目标跟踪方法 |
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| 引用本文： | 戴晓强,刘维亭,朱志宇.基于模糊自适应IMM算法的机动目标跟踪方法[J].船舶工程,2007,29(3):1-4. |
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| 作者姓名： | 戴晓强 刘维亭 朱志宇 |
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| 作者单位： | 江苏科技大学,电子信息学院,镇江,212003 |
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| 摘 要： | 提出了一种模糊自适应IMM算法(FAIMM)自适应地设计IMM算法中的模型集.该方法根据加速度估计值,通过模糊推理获得所使用模型的后验概率,自适应地摒弃概率较小的模型,从而减少了模型数目,降低了算法的计算量.仿真结果表明,应用FAIMM算法跟踪目标,跟踪的精度、平稳性以及算法的收敛速度等都得到了改善.
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| 关 键 词： | 人工智能 IMM算法 自适应滤波 模糊 当前统计模型 |
| 文章编号： | 1000-6982（2007）03-0001-04 |
| 修稿时间： | 2006-06-26 |
Maneuver target tracking based on fuzzy adaptive IMM algorithm |
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| DAI Xiao-qiang,LIU Wei-ting,ZHU Zhi-yu.Maneuver target tracking based on fuzzy adaptive IMM algorithm[J].Ship Engineering,2007,29(3):1-4. |
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| Authors: | DAI Xiao-qiang LIU Wei-ting ZHU Zhi-yu |
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| Institution: | School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang 212003, China |
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| Abstract: | A fuzzy adaptive IMM(FAIMM) algorithm is proposed to adaptively design model set of IMM,which acquires posterior probability of model through fuzzy inference based on estimation of acceleration,in this way the models having small probability are adaptively eliminated from the whole model set,so that model number is decreased and computation amount is smaller. Simulation results indicate that FAIMM has higher precision,better stability and faster convergence speed than IMM algorithms in application of maneuver target tracking. |
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| Keywords: | artificial intelligence IMM algorithm adaptive filter fuzzy current statistical model |
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