Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window

LI Yang; ZHANG Jing

doi:10.3969/j.issn.0372-2112.2016.02.016

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Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window

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- Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window
- Acta Electronica Sinica Vol. 44, Issue 2, Pages: 353-357(2016)
- 作者机构：
  
  中国电子科学研究院,北京,100041
- 作者简介：
- 基金信息：
  
  Pre-research Program of the General Armaments Department (No.102060302)
- DOI：10.3969/j.issn.0372-2112.2016.02.016
  CLC： V243.2TN957
- Published Online：25 February 2016，
  
  Published：2016
- 稿件说明：
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LI Yang, ZHANG Jing. Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window[J]. Acta Electronica Sinica, 2016, 44(2): 353-357.
DOI：

LI Yang, ZHANG Jing. Track Fusion Based on the Mean OSPA Distance with an Adaptive Sliding Window[J]. Acta Electronica Sinica, 2016, 44(2): 353-357. DOI： 10.3969/j.issn.0372-2112.2016.02.016.

摘要

多目标航迹发生合并和分叉情况在实际工程中比较常见

给航迹关联造成很大困难.本文提出基于自适应滑动窗均值OSPA(Optimal Sub-Pattern Assignment)距离航迹关联方法

给出自适应航迹关联方法的关联矩阵.该方法可以自适应地给出历史航迹对当前航迹的作用影响

进而达到有效且准确地判断多目标航迹合并和分叉情况.最后仿真结果给出了两个传感器和两个目标形成的航迹关联

本文所提自适应关联方法和传统关联方法的关联比较

证明了本文所提方法的有效性

特别是在航迹合并和分叉情况下同样有效.

Abstract

The combination and divergence of multi-target tracks are very common in the engineering practice

which make it more difficult for the track fusion.In this paper

a novel track fusion method with an adaptive sliding mean window is proposed.Meanwhile

the adaptive associated matrix of proposed method is also given here.The proposed method could adaptively measure the effect of history track on the current track for the multi-target

thus judge the track combination and divergence

effectively and accurately.Furthermore

the simulations are performed with two sensors and two targets

have also shown that the proposed method is valid and stable for the track fusion

especially to the track combination and divergence.

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