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计算机工程 ›› 2010, Vol. 36 ›› Issue (15): 129-130,133. doi: 10.3969/j.issn.1000-3428.2010.15.045

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基于KL距离的主/被动传感器最优选取跟踪

苏 英1,胡洪涛2   

  1. (1. 滨州学院计算机科学技术系,滨州 256610;2. 滨州市滨城区信息中心,滨州 256619)
  • 出版日期:2010-08-05 发布日期:2010-08-25
  • 作者简介:苏 英(1980-),女,助教、硕士,主研方向:计算机随机信号处理;胡洪涛,博士
  • 基金资助:
    滨州学院青年人才创新工程科研基金资助项目(BZXYQN LG200610)

Optimal-selection Tracking Based on KL Distance in Active/Passive Sensor

SU Ying1, HU Hong-tao2   

  1. (1. Department of Computer Science and Technology, Binzhou University, Binzhou 256610; 2. Information Center of Bincheng District, Binzhou 256619)
  • Online:2010-08-05 Published:2010-08-25

摘要: 提出一种基于KL距离的主/被动传感器管理策略,在每一时刻只有一种传感器工作的状态下,根据KL距离选择下一时刻的工作传感器,以期达到更好的跟踪精度。借用粒子滤波思想计算KL距离,通过目标运动模型参数辩识提高计算精度。仿真结果表明,与传统的协方差管理策略相比,该方法能获得更好的跟踪精度。

关键词: 传感器管理, KL距离, 目标跟踪

Abstract: A new active/passive sensor management algorithm based on KL distance is proposed, in which only one sensor works each frame. For getting the better tracking accuracy, the optimal sensor is selected based on the KL distance. Particle filtering method is used to calculate the KL distance and identification of motive model is added to improve accuracy. Simulation result shows the proposed method can achieve the desired tracking accuracy compared with the traditional management method based on covariance control.

Key words: sensor management, KL distance, target tracking

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