Computer Engineering and Applications ›› 2009, Vol. 45 ›› Issue (24): 1-3.DOI: 10.3778/j.issn.1002-8331.2009.24.001

• 博士论坛 • Previous Articles     Next Articles

Probability data association method for tracking wake target

LIU Yuan-kui,FAN Yang-yu,WANG Feng-qin   

  1. College of Electronics and Information,Northwestern Polytechnical University,Xi’an 710129,China
  • Received:2009-05-18 Revised:2009-06-19 Online:2009-08-21 Published:2009-08-21
  • Contact: LIU Yuan-kui

跟踪尾流目标的概率数据关联方法

刘元魁,樊养余,王凤琴   

  1. 西北工业大学 电子信息学院,西安 710129
  • 通讯作者: 刘元魁

Abstract: A probability data association method for tracking the wake target is presented.For the wake target,the traditional tracking method can’t associate measurement from the wake with real target correctly,and usually results in target loss due to the wake disturbance.The target wake is treated as a kind of special clutter,association probability coefficient according with the wake model is deduced,which is used to associate the measurement.Simulation result shows,compared with the traditional probability data association method,the new method can reduce target loss effectively and retain low target loss ratio with augmenting measurement noise.

摘要: 提出了一种针对尾流目标的跟踪方法。传统的跟踪方法对具有尾流的目标通常会被尾流干扰,无法将源于尾流的量测值与真实的目标进行正确关联,容易产生目标丢失或者失跟的情况。该方法将目标尾流作为一种特殊杂波,推导出带有尾流目标的概率关联系数,对目标量测值进行数据关联。仿真结果表明,与标准概率数据关联跟踪方法相比,提出的新的数据关联方法可以有效地减少目标失跟的情况,逐渐增大量测噪声,该方法依然保持低失跟率。

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