基于八元维瓦尔第雷达传感器的穿壁成像雷达实验

B. Yılmaz, C. Ozdemir
{"title":"基于八元维瓦尔第雷达传感器的穿壁成像雷达实验","authors":"B. Yılmaz, C. Ozdemir","doi":"10.1109/IRS.2016.7497332","DOIUrl":null,"url":null,"abstract":"In this work, we present the experimental results and the formed radar images of Through-the-Wall Imaging Radar (TWIR) experiments that were conducted by our recently developed radar sensor. Experiments towards to detection and imaging of both the stationary and the moving targets were conducted. A back-projection type focusing algorithm was applied to focus the raw radar images. The resultant measured TWIR images with good resolution features in both depth and cross-range domain have demonstrated the notable performance of our radar sensor.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Through-the-wall imaging radar experiments based on 8-element vivaldi radar sensor\",\"authors\":\"B. Yılmaz, C. Ozdemir\",\"doi\":\"10.1109/IRS.2016.7497332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work, we present the experimental results and the formed radar images of Through-the-Wall Imaging Radar (TWIR) experiments that were conducted by our recently developed radar sensor. Experiments towards to detection and imaging of both the stationary and the moving targets were conducted. A back-projection type focusing algorithm was applied to focus the raw radar images. The resultant measured TWIR images with good resolution features in both depth and cross-range domain have demonstrated the notable performance of our radar sensor.\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 17th International Radar Symposium (IRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IRS.2016.7497332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

在这项工作中,我们介绍了我们最近开发的雷达传感器进行的穿墙成像雷达(TWIR)实验的实验结果和形成的雷达图像。对静止目标和运动目标的检测与成像进行了实验研究。采用反投影式调焦算法对雷达原始图像进行调焦。测量得到的TWIR图像在深度和跨距离域都具有良好的分辨率特征,证明了我们的雷达传感器的显著性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Through-the-wall imaging radar experiments based on 8-element vivaldi radar sensor
In this work, we present the experimental results and the formed radar images of Through-the-Wall Imaging Radar (TWIR) experiments that were conducted by our recently developed radar sensor. Experiments towards to detection and imaging of both the stationary and the moving targets were conducted. A back-projection type focusing algorithm was applied to focus the raw radar images. The resultant measured TWIR images with good resolution features in both depth and cross-range domain have demonstrated the notable performance of our radar sensor.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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