现代防御技术 ›› 2018, Vol. 46 ›› Issue (5): 69-74.DOI: 10.3969/j.issn.1009-086x.2018.06.11

• 指挥控制与通信 • 上一篇    下一篇

改进模板匹配的通信目标识别技术收

于小红1, 程嘉远2   

  1. 1.江苏自动化研究所,江苏 连云港 222006;
    2.长春理工大学 电子信息工程学院,吉林 长春 130022
  • 收稿日期:2018-03-15 修回日期:2018-05-22 出版日期:2018-10-30 发布日期:2020-11-25
  • 作者简介:于小红(1988-),女,江苏海安人。工程师,硕士,主要研究方向为目标识别。通信地址:222006 江苏省连云港市圣湖路18号第一研究部 E-mail:yuxiaohong098@163.com

An Improved Template-Matching Based Communication Object Recognition

YU Xiao-hong1, CHENG Jia-yuan2   

  1. 1. Jiangsu Automation Research Institute,Jiangsu Lianyungang 222006,China;
    2. Changchun University of Scientific and Technology,Electronic Information Engineering Institute,Jilin Changchun 130022, China
  • Received:2018-03-15 Revised:2018-05-22 Online:2018-10-30 Published:2020-11-25

摘要: 通信目标识别是军事作战行动的关键环节。在通信对抗中,随着反侦察技术不断提高,通信环境越来越复杂。通信参数复杂多变,侦察数据基本都带有误差或者不完整,使得目标难以识别。为此提出了一种改进的模板匹配方法。仿真结果表明,该方法能够提高在大误差和参数缺失情况下的通信目标识别率,并具有较好的容错能力。

关键词: 通信, 目标识别, 修正City-Block, 模板匹配, Manhattan距离, Euclidean 距离, City-Block

Abstract: Communication object recognition is a critical section in military operations. With the continuous improvement of counter reconnaissance technologies, communication circumstances are becoming more and more complex. Complicated and variable of the communication parameters, error or deficiency of reconnaissance data make it difficult for object recognition. An improved template-matching method to address the communication parameters variability and deficiency problems is presented. The simulation results show that this method has high recognition rates and false-tolerance capabilities, and can be used to increase object recognition rates under large parameters error and deficiency conditions.

Key words: communication, object recognition, improved City-Block, template-matching, Manhattan distance, Euclidean distance, City-Block

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