作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2010, Vol. 36 ›› Issue (10): 228-230. doi: 10.3969/j.issn.1000-3428.2010.10.079

• 人工智能及识别技术 • 上一篇    下一篇

基于多特征参数的雷达数据关联及融合

汪日平1,刘以安1,倪天权2   

  1. (1. 江南大学信息工程学院,无锡 214122;2. 船舶重工集团公司723所,扬州 225001)
  • 出版日期:2010-05-20 发布日期:2010-05-20

Radar Data Association and Fusion Based on Multiple Characteristic Parameter

WANG Ri-ping1, LIU Yi-an1, NI Tian-quan2   

  1. (1. School of Information Engineering, Jiangnan University, Wuxi 214122;2. 723 Institute of China Shipbuilding Industry Corporation, Yangzhou 225001)
  • Online:2010-05-20 Published:2010-05-20

摘要: 在高密集多回波环境下,针对多雷达系统参照目标位置信息参数进行跟踪时可能出现关联精度较差的问题,加入多普勒频率参数,提高对目标跟踪的精度。针对数据融合过程中各雷达产生的误差不一致问题,提出一种动态分配权值的策略,将带有权值的各雷达数据送往融合中心进行融合计算。仿真结果表明,该方法能改进雷达系统的跟踪精度。

关键词: 数据融合, 多普勒频率, 目标跟踪

Abstract: In higher dense multi-return environment, reference target for the radar system to track the location of information may occur a poor association accuracy. Aiming at this problem, this paper adds Doppler frequency parameter to improve the accuracy of target tracking. In the process of data fusion, aiming at the difference of radar error, it gives a dynamic weight value allocation strategy. The weight value is sent to radar data fusion center for calculation and integration. Simulation results indicate that the method improves the tracking precision of radar system.

Key words: data fusion, Doppler frequency, target tracking

中图分类号: