| 引用本文: | 李林,何芳,黄柯棣,等.基于多时刻目标运动模式分布的多模型算法.[J].国防科技大学学报,2008,30(6):118-122.[点击复制] |
| LI Lin,HE Fang,HUANG Kedi,et al.Multiple Target Motion Mode Distribution Based Multiple Model Algorithm[J].Journal of National University of Defense Technology,2008,30(6):118-122[点击复制] |
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| 基于多时刻目标运动模式分布的多模型算法 |
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(1.国防科技大学 机电工程与自动化学院，湖南 长沙 410073;2.中国人民解放军63880部队，河南 洛阳 471003)
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| 摘要: |
| 在机动目标跟踪过程中，传感器在利用量测数据计算目标状态的同时，需要完成对目标运动模式的估计，并根据估计结果对传感器滤波方程的参数或结构进行调整，以减小滤波方程与目标运动模式之间的差异，提高对机动目标的跟踪精度。针对已有多模型算法的不足，利用多个时刻的目标运动模式分布来解决混合估计问题，提出一种新的次优多模型(MTMM)算法。仿真结果证明了MTMM算法的有效性。 |
| 关键词: 机动目标 运动模式 多模型 混合估计 |
| DOI： |
| 投稿日期：2008-06-17 |
| 基金项目:国家自然科学基金资助项目(60704038) |
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| Multiple Target Motion Mode Distribution Based Multiple Model Algorithm |
| LI Lin1,2, HE Fang3, HUANG Kedi4, LIU Baohong4 |
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(1.College of Mechatronics Engineering and Automation, National Univ. of Defense Technology， Changsha 410073, China;2. 2.Unit 63880 of PLA, Luoyang 471003, China;3.2.Unit 63880 of PLA, Luoyang 471003, China;4.1.College of Mechatronics Engineering and Automation, National Univ. of Defense Technology, Changsha 410073, China)
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| Abstract: |
| In tracking maneuvering target, target state and target motion mode must be estimated at the same time, and parameters or structure of filtering function should be modified according to estimation results, so that it can reduce the difference between filtering function and target motion mode, and increase tracking accuracy of maneuvering target. For overcoming the shortcomings of the present suboptimal multiple model algorithms, a new suboptimal multiple model (MTMM) algorithm is introduced, based on multiple target motion mode distribution. Simulation results show the validity of MTMM algorithm. |
| Keywords: maneuvering target motion mode multiple model hybrid estimation |
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