A novel target identification and discrimination scheme using matched spread-spectrum techniques

S. El-Khamy, F. A. Salem
{"title":"A novel target identification and discrimination scheme using matched spread-spectrum techniques","authors":"S. El-Khamy, F. A. Salem","doi":"10.1109/NRSC.1996.551122","DOIUrl":null,"url":null,"abstract":"This paper presents a method of accurate identification using a radar sensor incorporating the matched frequency-hopping spread-spectrum (MFH/SS) technique. Our work is based on the fact that targets of different shapes have different frequency signatures. This means that each target is characterized by a special frequency dependence of the scattering cross-section. Our approach to identifying objects is based on matching the radar receiver circuit to the selected hopping frequencies which give maximum backscattering contribution for different identified targets at different look directions. Also, we suggest a single radar sensor incorporating modified techniques, MFH combined with angle diversity (AD) and cumulative matched frequency hopping (CMFH) for three-dimensional target identification. The results of a simulation study are presented showing the effectiveness of incorporating the MFH/SS technique in the radar sensor for enhancing target identification and provide the redundancy and complementarity provided by multiple sensors.","PeriodicalId":127585,"journal":{"name":"Thirteenth National Radio Science Conference. NRSC '96","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirteenth National Radio Science Conference. NRSC '96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRSC.1996.551122","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

This paper presents a method of accurate identification using a radar sensor incorporating the matched frequency-hopping spread-spectrum (MFH/SS) technique. Our work is based on the fact that targets of different shapes have different frequency signatures. This means that each target is characterized by a special frequency dependence of the scattering cross-section. Our approach to identifying objects is based on matching the radar receiver circuit to the selected hopping frequencies which give maximum backscattering contribution for different identified targets at different look directions. Also, we suggest a single radar sensor incorporating modified techniques, MFH combined with angle diversity (AD) and cumulative matched frequency hopping (CMFH) for three-dimensional target identification. The results of a simulation study are presented showing the effectiveness of incorporating the MFH/SS technique in the radar sensor for enhancing target identification and provide the redundancy and complementarity provided by multiple sensors.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
一种基于匹配扩频技术的目标识别与识别新方案
本文提出了一种结合匹配跳频扩频技术的雷达传感器精确识别方法。我们的工作是基于这样一个事实:不同形状的目标具有不同的频率特征。这意味着每个目标都具有散射截面的特殊频率依赖性。我们的目标识别方法是基于将雷达接收机电路与所选跳频相匹配,从而使不同的目标在不同的注视方向上产生最大的后向散射贡献。此外,我们还提出了一种将MFH与角度分集(AD)和累积匹配跳频(CMFH)相结合的改进技术用于三维目标识别的单一雷达传感器。仿真研究结果表明,在雷达传感器中加入MFH/SS技术可以增强目标识别能力,并提供多个传感器提供的冗余和互补性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Improving the parametric Gaussian classifier using neural networks RLS solution for the adaptive recursive filter Time-dependence of backscattered intensities of a sphere illuminated with very short electromagnetic pulses Prediction model selection for compression of satellite images A simple invariant neural network for 2-D image recognition
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1