| 引用本文: | 王宏强,黎湘,刘丹,等.非线性系统中的机动目标跟踪算法.[J].国防科技大学学报,2002,24(4):57-60.[点击复制] |
| WANG Hongqiang,LI Xiang,LIU Dan,et al.Maneuvering Target Tracking in the Nonlinear System[J].Journal of National University of Defense Technology,2002,24(4):57-60[点击复制] |
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| 非线性系统中的机动目标跟踪算法 |
| 王宏强, 黎湘, 刘丹, 郭桂蓉 |
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(国防科技大学电子科学与工程学院，湖南 长沙 410073)
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| 摘要: |
| 对于非线性系统中的机动目标跟踪问题，首先针对“当前”统计模型的缺陷提出了一种修正算法，然后应用转换测量Kalman滤波算法进行跟踪。仿真结果表明在非线性观测条件下，算法明显提高了对弱机动和非机动目标的跟踪性能，同时保持了对强机动目标的高性能跟踪。 |
| 关键词: 非线性系统 机动目标跟踪 统计模型 转换测量Kalman滤波 |
| DOI： |
| 投稿日期：2002-04-17 |
| 基金项目:国家部委预研项目资助（413010701－2） |
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| Maneuvering Target Tracking in the Nonlinear System |
| WANG Hongqiang, LI Xiang, LIU Dan, GUO Guirong |
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(College of Electronic Science and Engineering，National Univ. of Defense Technology，Changsha 410073，China)
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| Abstract: |
| Considering the problem of the maneuvering target tracking in the nonlinear system, this paper first proposes a modified algorithm based on “current" statistical model. Then a converted measurement Kalman filter is applied to tracking the target. Simulation results show that the algorithm improves the tracking performance obviously for the poor-maneuver or non-maneuver target, meanwhile it retains high tracking performance for the strong-maneuvering target. |
| Keywords: nonlinear system maneuvering target tracking statistical model converted measurement Kalman filter |
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