电子学报 ›› 2013, Vol. 41 ›› Issue (5): 840-847.DOI: 10.3969/j.issn.0372-2112.2013.05.002

• 学术论文 • 上一篇    下一篇

基于随机Hough变换的三维集中式航迹起始算法

吴泽民1, 张磊1, 刘晗2, 田畅2   

  1. 1. 解放军理工大学通信工程学院,江苏南京 210007;
    2. 广西南宁警备区,广西南宁 530023
  • 收稿日期:2011-11-22 修回日期:2012-12-27 出版日期:2013-05-25 发布日期:2013-05-25
  • 作者简介:吴泽民 男,1973年5月生于四川省成都,现为解放军理工大学通信工程学院副教授.主要研究方向为数据融合、雷达数据处理、计算机视觉. E-mail:wuzemin_ice@163.com
  • 基金资助:

    航空科学基金(No.20125186005);国家自然科学基金(No.61201217)

Centralized 3D Track Initialization Using Random Hough Transformation

WU Ze-min1, ZHANG Lei1, LIU Han2, TIAN Chang2   

  1. 1. Institute of Communication Engineering,PLA University of Science and Technology,Nanjing,Jiangsu 210007,China;
    2. Guangxi Nanning Garrison Command,Nanning,Guangxi 530023,China
  • Received:2011-11-22 Revised:2012-12-27 Online:2013-05-25 Published:2013-05-25

摘要: 本文提出了一种用于三维空间直线航迹起始的集中式Hough变换法.基于三维直线的Roberts表示法,设计了Roberts参数相似性判决的假设检验方法.通过对多传感器点迹的随机采样,计算每次采样确定的直线Roberts参数,然后以相似性测度实现Roberts参数的合并,当参数累积超过规定的门限后能可靠地起始一条直线航迹.为了减少无意义的随机采样和不合理的Roberts参数合并,在算法实时过程中适时地检查目标运动速度限制,加快了采样速度,减少了航迹误起始的概率.通过仿真,该算法能适应多传感器多目标环境中传感器数据更新率不同和密集杂波、强干扰的复杂情况.

关键词: 数据融合, 航迹起始, 随机Hough变换, Roberts参数

Abstract: A centralized hough track initialization algorithm is introduced for line in 3 dimensions space.Based on Roberts representation of 3D line,the hypothesis statistics is designed for Roberts parameters similarity.Through random sampling data from multiple sensors,the candidate Roberts parameter for 3D line is created corresponding to the data samples.Similar Roberts parameters are merged to accumulate to proper detection threshold for valid and credible line track.To reduce unreasonable random sampling and improper Roberts parameter merging,the object moving speed constrains are check when algorithm is realized,which will not only speeds up algorithm,but also decreases track false alarm ratio.Through performance analysis from simulation,our 3D centralized hough algorithm can be adapted to multi-sensor,multi-object environment,where different data updating rates,dense clutter and strong jamming will be encountered.

Key words: data fusion, track initialization, random Hough, Roberts parameters

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