Through the wall imaging radar

Kaushik Mayank, Phartyal Deepanshu, Dubey Sonam, P. M. Menghal, Suri Naveen
{"title":"Through the wall imaging radar","authors":"Kaushik Mayank, Phartyal Deepanshu, Dubey Sonam, P. M. Menghal, Suri Naveen","doi":"10.26634/jip.9.1.18592","DOIUrl":null,"url":null,"abstract":"In a Counter Insurgency/Counter Terrorism environment, where the life of a soldier is of paramount importance at times of uncertainty while carrying out house clearing drills. It is imperative that they would come across situations wherein there is a presence of a hostile target inside a closed room/house. This research paper encompasses “Through the wall target detection, classification, and range estimation”. Using a two port Vector Network Analyzer (VNA) as a power source, which was initially in the frequency domain was converted to time domain format for better assimilation of target detection and classification. One port of VNA utilized as transmitter and other as receiver, where two dual ridged horn antennas were placed. Also, by carrying out screen mirroring of the VNA with the laptop, the display as well as control of VNA, could be done using a laptop. The experimental results achieved were detection of stationary object/ stationary human being, moving human being, differentiation between stationary human & moving human and also differentiation between armed and unarmed personnel. These results achieved were based on the peak detection and display on the VNA screen/laptop. To achieve algorithm-based detection and classification, signal processing is required to be done depending on the peak detected and also an algorithm for real-time data transfer from VNA to the laptop.","PeriodicalId":292215,"journal":{"name":"i-manager’s Journal on Image Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"i-manager’s Journal on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26634/jip.9.1.18592","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In a Counter Insurgency/Counter Terrorism environment, where the life of a soldier is of paramount importance at times of uncertainty while carrying out house clearing drills. It is imperative that they would come across situations wherein there is a presence of a hostile target inside a closed room/house. This research paper encompasses “Through the wall target detection, classification, and range estimation”. Using a two port Vector Network Analyzer (VNA) as a power source, which was initially in the frequency domain was converted to time domain format for better assimilation of target detection and classification. One port of VNA utilized as transmitter and other as receiver, where two dual ridged horn antennas were placed. Also, by carrying out screen mirroring of the VNA with the laptop, the display as well as control of VNA, could be done using a laptop. The experimental results achieved were detection of stationary object/ stationary human being, moving human being, differentiation between stationary human & moving human and also differentiation between armed and unarmed personnel. These results achieved were based on the peak detection and display on the VNA screen/laptop. To achieve algorithm-based detection and classification, signal processing is required to be done depending on the peak detected and also an algorithm for real-time data transfer from VNA to the laptop.
通过墙壁成像雷达
在反叛乱/反恐环境中,在进行房屋清理演习的不确定时刻,士兵的生命至关重要。他们必须遇到在封闭的房间/房子里有敌对目标的情况。本文的研究内容是“穿墙目标的检测、分类和距离估计”。采用双端口矢量网络分析仪(VNA)作为电源,将最初在频域的信号转换为时域格式,以便更好地同化目标的检测和分类。VNA的一个端口作为发射器,另一个端口作为接收器,其中放置了两个双脊喇叭天线。此外,通过笔记本电脑对VNA进行屏幕镜像,可以使用笔记本电脑进行VNA的显示和控制。实验结果实现了静止物体/静止人的检测、移动人的检测、静止人和移动人的区分以及武装人员和非武装人员的区分。这些结果是基于峰值检测和显示在VNA屏幕/笔记本电脑上。为了实现基于算法的检测和分类,需要根据检测到的峰值进行信号处理,还需要一种从VNA到笔记本电脑的实时数据传输算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信