机场场面监视雷达目标检测新方法
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  • 英文篇名:Novel Method for Radar Target Detection of Airport Surface Movement
  • 作者:陈建军 ; 孙俊 ; 李申 ; 王涛 ; 凌云 ; 于立 ; 张煜婕 ; 李文娟
  • 英文作者:Chen Jianjun;Sun Jun;Li Shen;Wang Tao;Ling Yun;Yu Li;Zhang Yujie;Li Wenjuan;Nanjing Research Institute of Electronic Technology;Key Laboratory of Intellisense Technology,CETC;School of Electronic Engineering and Optical Electronics,Nanjing University of Science and Technology;
  • 关键词:目标检测 ; 场面监视雷达 ; 机场场面监视 ; 高分辨实孔径图像 ; 团簇凝聚
  • 英文关键词:target detection;;surface movement radar;;airport surface surveillance;;high resolution real aperture image;;cluster aggregation
  • 中文刊名:SJCJ
  • 英文刊名:Journal of Data Acquisition and Processing
  • 机构:南京电子技术研究所;中国电子科技集团公司智能感知技术重点实验室;南京理工大学电子工程与光电技术学院;
  • 出版日期:2016-05-15
  • 出版单位:数据采集与处理
  • 年:2016
  • 期:v.31;No.137
  • 语种:中文;
  • 页:SJCJ201603015
  • 页数:7
  • CN:03
  • ISSN:32-1367/TN
  • 分类号:145-151
摘要
机场场面监视雷达可得到高分辨率实孔径图像,常规的雷达目标检测方法难以检测出其中的目标。本文首先分析了场面监视雷达目标检测中的问题,然后根据场面监视雷达回波信号的特点,提出了一种基于数字图像处理思想的目标检测新方法。给出了算法处理的基本流程和主要模块的具体实现方法。国内机场实测数据的处理结果表明本文算法可靠地检测出目标区域,目标团簇凝聚处理可有效消除孤立虚警点并填充目标区域内部漏警块。本文提出的方法对于场面监视雷达系统的研制有一定借鉴意义。
        The echoes of surface movement radar(SMR)are real aperture images with high resolution,which is difficult for traditional radar target detection method to deal with.Firstly,the problem in SMR target detection is analyzed.Then a new SMR target detection algorithm according to the characteristics of SMR echo is proposed,based on the digital image processing.The flow chart of the algorithm and the realization of the main components are described in detail separately.The processing result of SMR return signal collected from certain airport is presented to reveal the validity of the proposed algorithm.The target can be detected effectively.A mass of isolated false alarm points are removed and the cavities inside the target region are filled by target cluster aggregating processing.
引文
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