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应用科学学报 ›› 2012, Vol. 30 ›› Issue (3): 263-269.doi: 10.3969/j.issn.0255-8297.2012.03.008

• 论文 • 上一篇    下一篇

干扰环境下数目可变的多目标跟踪

吴昊， 苏卫民， 顾红   


  1. 南京理工大学电子工程与光电技术学院，南京210094
  • 收稿日期:2010-09-14 修回日期:2011-05-18 出版日期:2012-05-30 发布日期:2012-05-30
  • 作者简介:吴昊，博士生，研究方向：无源雷达目标跟踪，E-mail：wuhaorceet@126.com；苏卫民，教授，博导，研究方向：机载无源雷达，E-mail：suweimin@mail.njust.edu.cn；顾红，教授，博导，研究方向：MIMO雷达，E-mail：guhong@mail.njust.edu.cn
  • 基金资助:

    国家自然科学基金(No.60672075)；南京理工大学自主科研专项计划基金(No.2010ZDJH05)资助

Tracking a Variable Number of Targets in Cluttered Environment

WU Hao, SU Wei-min, GU Hong   

  1. School of Electronic Engineering and Optoelectronic Technology,
    Nanjing University of Science and Technology, Nanjing 210094, China
  • Received:2010-09-14 Revised:2011-05-18 Online:2012-05-30 Published:2012-05-30

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1339

被引次数

1

摘要：

针对环境中干扰因素对目标跟踪性能的影响，提出了一种跟踪数目可变的多目标方法. 该方法通过聚类算法来判断目标的出现或消亡，并获得目标数目，然后利用基于无迹卡尔曼的廉价联合概率数据关联算法获得量测与已知目标轨迹的互联概率，并实现状态传递. 与传统的廉价联合概率数据关联算法相比，该算法在干扰环境下跟踪性能更优，可处理目标数目可变的多目标跟踪问题.

关键词: 无源雷达, 聚类, 数据关联, 无迹

Abstract:

In this paper, a passive bistatic radar system using television as opportunistic illuminator is presented. When considering the existence of clutters, a new method is proposed to track a variable number of targets in a cluttered environment. A clustering algorithm is first introduced to judge whether a new target appears or an existing target vanishes, and then the UKF based cheap joint probabilistic data association method (UKFCJPDA) is used to track the targets. Numerical simulation shows good performance of this algorithm.

Key words: passive radar, cluster, data association, unscented

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