| 机动目标跟踪的自适应卡尔曼滤波算法实现 |
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| 引用本文： | 樊宗臣,吴晓燕.机动目标跟踪的自适应卡尔曼滤波算法实现[J].战术导弹技术,2009(1):79-81. |
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| 作者姓名： | 樊宗臣 吴晓燕 |
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| 作者单位： | 空军工程大学,陕西三原713800 |
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| 摘 要： | 为真实反映目标机动范围与强度的变化，引入了机动目标的“当前”统计模型，提出了一种基于该模型的自适应卡尔曼滤波算法．仿真结果表明，能有效改善在机动目标跟踪中传统的卡尔曼滤波可能出现的发散情况，提高了跟踪的准确性和稳定性．
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| 关 键 词： | 自适应卡尔曼滤波算法 统计模型 目标跟踪 |
Study of Adaptive Kalman Filtering Algorithm in Maneuvering Target Track |
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| Fan Zongchen,Wu Xiaoyan.Study of Adaptive Kalman Filtering Algorithm in Maneuvering Target Track[J].Tactical Missile Technology,2009(1):79-81. |
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| Authors: | Fan Zongchen Wu Xiaoyan |
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| Affiliation: | (Air Force Engineering University, Sanyuan Shanxi 713800, China) |
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| Abstract: | Current statistical model of maneuvering target track is presented to reflect the changes of intensity and scope of maneuvering target, and the adaptive Kalman filtering algorithm based on the current statistical model is built. Compared with traditional Kalman filtering, the simulation results indicate that the algorithm can correct the distribution problem, and improve the accuracy and stability of target track. |
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| Keywords: | adaptive Kalman filtering algorithm statistical model target track |
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