| 多传感器跟踪系统自适应Kalman滤波融合 |
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| 引用本文： | 梁卫星,周杰.多传感器跟踪系统自适应Kalman滤波融合[J].传感器与微系统,2009,28(9):40-43. |
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| 作者姓名： | 梁卫星 周杰 |
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| 作者单位： | 四川大学数学学院,四川,成都,610064 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 多传感器目标跟踪的一个实际问题是如何获得目标的过程噪声信息，以获得较好的跟踪性能。针对多传感器分布式估计融合系统，利用这种自适应技术给出了一种自适应Kalman滤波的融合方法，它具有与中心式相近的跟踪性能。计算机模拟结果表明：这种方法具有较优良的性能。
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| 关 键 词： | 自适应Kalman滤波 目标跟踪 估计融合 |
Tracking target by multi-sensor fusion using adaptive Kalman filtering |
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| LIANG Wei-xing,ZHOU Jie.Tracking target by multi-sensor fusion using adaptive Kalman filtering[J].Transducer and Microsystem Technology,2009,28(9):40-43. |
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| Authors: | LIANG Wei-xing ZHOU Jie |
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| Affiliation: | ( College of Mathematics, Sichuan University, Chengdu 610064, China) |
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| Abstract: | The key problem of multi-sensor tracking targets is how to get the information of the process noise so as to get a good performance of tracking targets. The adaptive Kalman filter is used to track a maneuvering target under the system of the distributed estimation fusion. It has the asymptotical performance with the centralized system. Simulation shows that this technique has a good performance. |
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| Keywords: | adaptive Kalman filtering target tracking estimation fusion |
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