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

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

doi:10.3969/j.issn.0372-2112.2016.07.014

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

更新时间：2025-07-16

- A Real-Time Approach for Through-the-Wall Imaging Under Unknown Wall Characteristics
- Acta Electronica Sinica Vol. 44, Issue 7, Pages: 1613-1618(2016)
- 作者机构：
  
  南京邮电大学电子科学与工程学院,江苏,南京,210003
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2016.07.014
  CLC： TN957
- Published Online：25 July 2016，
  
  Published：2016
- 稿件说明：
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ZHANG Hua-mei, ZHANG Ye-rong, WANG Fang-fang. A Real-Time Approach for Through-the-Wall Imaging Under Unknown Wall Characteristics[J]. Acta Electronica Sinica, 2016, 44(7): 1613-1618.
DOI：

ZHANG Hua-mei, ZHANG Ye-rong, WANG Fang-fang. A Real-Time Approach for Through-the-Wall Imaging Under Unknown Wall Characteristics[J]. Acta Electronica Sinica, 2016, 44(7): 1613-1618. DOI： 10.3969/j.issn.0372-2112.2016.07.014.

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.

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.

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