基于双波段光子雷达系统的非合作目标ISAR成像

F. Laghezza, F. Scotti, D. Onori, A. Bogoni
{"title":"基于双波段光子雷达系统的非合作目标ISAR成像","authors":"F. Laghezza, F. Scotti, D. Onori, A. Bogoni","doi":"10.1109/IRS.2016.7497319","DOIUrl":null,"url":null,"abstract":"We present results of ISAR imaging derived from a field trial detecting different non-cooperative targets with a photonics-based dual band radar operating in S and X band. Images of the targets have been extracted from collected data demonstrating the capability of the system to operate as an imaging radar. The innovative features of the photonic system as the frequency flexibility and the coherent distribution to decentralized peripherals open the way to multi-spectral/static imaging.","PeriodicalId":346680,"journal":{"name":"2016 17th International Radar Symposium (IRS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"ISAR imaging of non-cooperative targets via dual band photonics-based radar system\",\"authors\":\"F. Laghezza, F. Scotti, D. Onori, A. Bogoni\",\"doi\":\"10.1109/IRS.2016.7497319\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present results of ISAR imaging derived from a field trial detecting different non-cooperative targets with a photonics-based dual band radar operating in S and X band. Images of the targets have been extracted from collected data demonstrating the capability of the system to operate as an imaging radar. The innovative features of the photonic system as the frequency flexibility and the coherent distribution to decentralized peripherals open the way to multi-spectral/static imaging.\",\"PeriodicalId\":346680,\"journal\":{\"name\":\"2016 17th International Radar Symposium (IRS)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-05-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 17th International Radar Symposium (IRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IRS.2016.7497319\",\"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.2016.7497319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

本文介绍了在S和X波段工作的光子双频雷达探测不同非合作目标的现场试验的ISAR成像结果。目标的图像已经从收集的数据中提取出来,展示了系统作为成像雷达操作的能力。光子系统的频率灵活性和分散外设的相干分布等创新特性为多光谱/静态成像开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ISAR imaging of non-cooperative targets via dual band photonics-based radar system
We present results of ISAR imaging derived from a field trial detecting different non-cooperative targets with a photonics-based dual band radar operating in S and X band. Images of the targets have been extracted from collected data demonstrating the capability of the system to operate as an imaging radar. The innovative features of the photonic system as the frequency flexibility and the coherent distribution to decentralized peripherals open the way to multi-spectral/static imaging.
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