[1]时少旺,谭守林..基于Unscented卡尔曼滤波的目标跟踪仿真分析[J].郑州大学学报(工学版),2008,29(03):47-50.[doi:10.3969/j.issn.1671-6833.2008.03.012]
Shi Shaowang,Tan Shoulin.Target tracking simulation analysis based on Unscented Kalman filtering[J].Journal of Zhengzhou University (Engineering Science),2008,29(03):47-50.[doi:10.3969/j.issn.1671-6833.2008.03.012]
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基于Unscented卡尔曼滤波的目标跟踪仿真分析(
)
《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]
- 卷:
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29
- 期数:
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2008年03期
- 页码:
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47-50
- 栏目:
-
- 出版日期:
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1900-01-01
文章信息/Info
- Title:
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Target tracking simulation analysis based on Unscented Kalman filtering
- 作者:
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时少旺; 谭守林.
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第二炮兵工程学院,作战保障系,陕西,西安,710025, 第二炮兵工程学院,作战保障系,陕西,西安,710025
- Author(s):
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Shi Shaowang; Tan Shoulin
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- 关键词:
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无味变换; 目标跟踪; Unscented卡尔曼滤波; 多模型算法
- Keywords:
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odorless transformation; Target tracking; Unscented Kalman filtering; Multi-model algorithm
- DOI:
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10.3969/j.issn.1671-6833.2008.03.012
- 文献标志码:
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A
- 摘要:
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卡尔曼滤波技术是目标跟踪的理论基础之一.在工程应用中,多采用非线性滤波的方法对目标进行跟踪.介绍了Unscented变换,通过使用Unscented卡尔曼滤波(UKF)对目标跟踪进行仿真实验,Un-scented卡尔曼滤波有效地克服了传统的扩展卡尔曼滤波算法(EKF)的缺陷.给出了最佳估计的二阶近似,提高了对目标跟踪的精度和稳定性.仿真结果表明,该算法对目标在位置、速度跟踪方面均有良好的效果;针对目标机动,采用多模型滤波算法能够实现目标机动的精确跟踪.
- Abstract:
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Kalman filter technique is one of the theoretical foundations of target tracking. In engineering applications, nonlinear filtering methods are mostly used to track targets. The Unscented transform is introduced, and the Unscented Kalman filter (UKF) is used to simulate the target tracking, which effectively overcomes the shortcomings of the traditional extended Kalman filter algorithm (EKF). The second-order approximation of the best estimate is given, which improves the accuracy and stability of target tracking. The simulation results show that the algorithm has good effects on the position and speed tracking of the target. For target maneuvering, the multi-model filtering algorithm can be used to achieve accurate tracking of target maneuver.
更新日期/Last Update:
1900-01-01