电子学报 ›› 2016, Vol. 44 ›› Issue (7): 1613-1618.DOI: 10.3969/j.issn.0372-2112.2016.07.014

• 学术论文 • 上一篇    下一篇

墙体参数未知时的穿墙雷达实时成像方法

张华美, 张业荣, 王芳芳   

  1. 南京邮电大学电子科学与工程学院, 江苏南京 210003
  • 收稿日期:2014-12-30 修回日期:2015-06-17 出版日期:2016-07-25
    • 通讯作者:
    • 张业荣
    • 作者简介:
    • 张华美 女,1979年10月出生于江苏启东.现为南京邮电大学电子科学与工程学院讲师.主要研究方向为电磁场的数值计算、电磁逆散射及成像等.E-mail:zhanghm@njupt.edu.cn;王芳芳 女,1985年2月出生于江苏丹阳.现为南京邮电大学电子科学与工程学院讲师.主要研究方向为电磁散射与逆散射、电磁成像算法等.E-mail:wangff@njupt.edu.cn
    • 基金资助:
    • 国家自然科学基金 (No.61071022,No.61372045); 江苏省自然科学基金项目 (No.BK20140891); 南京邮电大学大学生创新计划 (No.XYB2015083); 南京邮电大学科研基金 (No.NY215165)

A Real-Time Approach for Through-the-Wall Imaging Under Unknown Wall Characteristics

ZHANG Hua-mei, ZHANG Ye-rong, WANG Fang-fang   

  1. School of Electronic Science and Engineering, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China
  • Received:2014-12-30 Revised:2015-06-17 Online:2016-07-25 Published:2016-07-25
    • Supported by:
    • National Natural Science Foundation of China (No.61071022, No.61372045); Natural Science Foundation of Jiangsu Province,  China (No.BK20140891); Innovation Plan for Students of Nanjing University of Posts and Telecommunications (No.XYB2015083); Research Foundation of Nanjing University of Posts and Telecommunications (No.NY215165)

摘要:

为同时解决穿墙雷达成像中墙体参数未知和实时性要求这两个关键问题,提出了先利用支持向量机对墙体参数进行回归预测、再采用相移偏移算法进行成像的两步成像方法.重点介绍了墙体参数预测方法,讨论了目标的大小、位置、形状和个数及墙体长度、采样间隔、噪声对墙体参数预测的影响,仿真结果表明预测方法精度高、耗时短.对实际案例进行仿真分析,结果表明该两步方法成功地实现了墙体参数未知时的实时成像,成像结果令人满意.

关键词: 穿墙成像, 参数估计, 实时性, 支持向量机

Abstract:

In order to solve two key problems in through-the-wall imaging which are ambiguities of wall parameters and real-time imaging simultaneously,a two step imaging procedure is presented in which firstly the wall parameters are estimated by support vector machine and then the targets behind the wall is located and focused by phase shift migration algorithm.The estimated method is introduced emphatically,and the influence of the size,the location,the shape,the number of the targets and the length of the wall,sampling interval,noise on the estimated wall parameters is mainly discussed.The results demonstrate that the method based on SVM(Support Vector Machine) has the advantages of high precision and low computational time.Finally,the performance of two step imaging procedure is tested by a practical case of through-the-wall imaging,the results show that the procedure can realize real-time imaging under unknown wall characteristics,and also a relatively satisfactory image focusing is obtained.

Key words: through-the-wall imaging, parameter estimation, real time, support vector machine

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