基于自适应卡尔曼滤波的机动目标跟踪算法

›› 2013, Vol. 26 ›› Issue (4): 78-.

基于自适应卡尔曼滤波的机动目标跟踪算法

唐政,郝明,周鹏,杜利刚

(西安导航技术研究所通信部,陕西西安 710068)

出版日期:2013-04-15 发布日期:2013-06-20
作者简介:唐政(1980—),男,博士后。研究方向:复合跟踪,协同定位等信息融合技术。E-mail:adamtangzheng@nwpu.edu.cn。郝明(1979—),男,高级工程师。研究方向:数据链总体技术。周鹏(1982—),男,博士。工程师。研究方向:信号处理。杜立刚(1985—),男,助工。研究方向:数据链应用技术。
基金资助:
中国博士后科学基金资助项目(20100481364)

Tracking Algorithm for Maneuvering Target Based on Adaptive Kalman Filter

TANG Zheng, HAO Ming, ZHOU Peng, DU Li-Gang

(Department of Communications,Xi'an Research Institute of Navigation Technology,Xi'an 710068,China)

Online:2013-04-15 Published:2013-06-20

摘要/Abstract

摘要：

针对一般卡尔曼滤波融合跟踪方法无法实现对机动目标的有效跟踪问题,提出一种自适应卡尔曼滤波融合方法,设计一种能够提供目标开始机动瞬时估计的目标机动探测器,反复对目标的加速机动进行估计,当确定目标开始机动时,卡尔曼滤波模型将自适应地调整为目标机动状态模型。最后,通过仿真实验对比分析,证明文中所提方法优于一般卡尔曼滤波融合方法。

关键词: 自适应卡尔曼滤波, 机动目标跟踪, 机动探测器, 状态估计

Abstract:

The application of kalman filter in tracking the maneuver target is not available as it is used in tracking the target of uniform motion.Therefore,an improved method for tracking a maneuver target is proposed.By the proposed method,the maneuver detector provides the estimate of time instant at which a target starts to maneuver;and when a target maneuver is determined,the kalman filter model will be adjusted with varied target motion state.The maneuver,modeled as acceleration,is estimated recursively.Finally,the performance of the proposed approach proves to be superior to that of the kalman filters by simulation.

Key words: adaptive kalman filter;maneuver target tracking;maneuver detector;state estimation

中图分类号:

TP302.7

唐政, 郝明, 周鹏, 杜利刚. 基于自适应卡尔曼滤波的机动目标跟踪算法[J]. , 2013, 26(4): 78-.

TANG Zheng, HAO Ming, ZHOU Peng, DU Li-Gang. Tracking Algorithm for Maneuvering Target Based on Adaptive Kalman Filter[J]. , 2013, 26(4): 78-.

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