[1]严浙平,黄宇峰.基于卡尔曼滤波的动目标预测[J].应用科技,2008,(10):28-32.
 YAN Zhe-ping,HUANG Yu-feng.Research on prediction of moving targets with Kalman iltering method[J].yykj,2008,(10):28-32.
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基于卡尔曼滤波的动目标预测
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《应用科技》[ISSN:1009-671X/CN:23-1191/U]

卷:
期数:
2008年10期
页码:
28-32
栏目:
自动化技术
出版日期:
2008-10-05

文章信息/Info

Title:
Research on prediction of moving targets with Kalman iltering method
文章编号:
1009-671X(2008)10-0028-05
作者:
严浙平黄宇峰
对非机动目标可利用标准卡尔曼滤波算法对其运动状态进行预测,因为其运动数学模型精确可知.而当运动目标处于机动时,准确描述目标运动状态的数学模型难以建立,标准卡尔曼滤波算法难以进行对其状态预测.因此,文中采用将目标加速度作为虚拟噪声的自适应卡尔曼滤波算法,进行动目标运动状态的预估.仿真结果表明了该算法有效、可行,具有一定应用参考价值.
Author(s):
YAN Zhe-ping HUANG Yu-feng
College of Automation, Harbin Engineering University, Harbin 150001,China
关键词:
动目标预测卡尔曼滤波自适应卡尔曼滤波
Keywords:
target prediction Kalman filtering adaptive Kalman filtering
分类号:
TK414.2
文献标志码:
A
摘要:
对非机动目标可利用标准卡尔曼滤波算法对其运动状态进行预测,因为其运动数学模型精确可知.而当运动目标处于机动时,准确描述目标运动状态的数学模型难以建立,标准卡尔曼滤波算法难以进行对其状态预测.因此,文中采用将目标加速度作为虚拟噪声的自适应卡尔曼滤波算法,进行动目标运动状态的预估.仿真结果表明了该算法有效、可行,具有一定应用参考价值.
Abstract:
For non-mobile targets, their movements can be predicted by normal Kalman filtering, since their mathematic models are known. However, when the targets are in motion, their accurate mathematic models are difficult to be established, so the normal Kalman filtering is also difficult to predict a mobile target in this case. In this paper,an adaptive Kalman filtering method was used to estimate the acceleration and predict the motion of mobile targets, in which the acceleration of targets is taken as a virtual noise. Simulation results showed that the proposed method is very useful to predict the mobile targets.

参考文献/References:

[1]宋文尧, 张井牙. 卡尔曼滤波[M]. 北京: 科学出版社, 1991. [2]蒋志凯. 数字滤波与卡尔曼滤波[M]. 北京: 中国科学技术出版社, 1993. [3]高磊, 徐德民.自适应推广Kalman滤波应用于水下被动目标跟踪[J]. 系统工程与电子技术, 2001, 23: 8-10. [4] 石章松, 王树宗, 刘忠. 自适应Kalman滤波器在水下被动目标跟踪中的应用\[J\]. 数据采集与处理, 2004, 19(2): 150-l54. [5]李日华,常文田,万磊,等.水下机器人自适应卡尔曼滤波技术研究[J].智能系统学报,2006,1(2):44-56. [6]BAHETI R S. Efficient approximation of Kalman filter for target tracking\J]. IEEE Transactions on Aero Space and Electronic Systems, 1986(22): 8-14. [7]SINGER RA. Estimating optimal tracking filter performance for manned-maneuvering targets[J].IEEE Transactions on Aerospace and Electronic Systems,1970(12): 473-483.

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更新日期/Last Update: 2008-10-27