FMCW Inverse Circular Synthetic Aperture Radar Using a Fast Time-Domain Reconstruction

IF 4.5 1区 工程技术 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Microwave Theory and Techniques Pub Date : 2024-09-05 DOI:10.1109/TMTT.2024.3450655
Aditya Varma Muppala;Jeffrey A. Fessler;Kamal Sarabandi
{"title":"FMCW Inverse Circular Synthetic Aperture Radar Using a Fast Time-Domain Reconstruction","authors":"Aditya Varma Muppala;Jeffrey A. Fessler;Kamal Sarabandi","doi":"10.1109/TMTT.2024.3450655","DOIUrl":null,"url":null,"abstract":"This article proposes a millimeter-wave inverse circular synthetic aperture radar system and a fast time-domain wavefront reconstruction (TDWR) algorithm for near real-time, low-cost imaging of packages and concealed objects. An 80-GHz frequency-modulated continuous-wave (FMCW) radar illuminates targets on a high-speed rotating turntable driven by a precision motor system. Data are collected over a synthetic circular aperture and processed to form high-resolution images of targets. To achieve real-time operation, a fast and accurate time-domain reconstruction and deconvolution imaging algorithm is proposed. The image formation is based on frequency-domain wavefront reconstruction for circular arrays that is adapted to FMCW radars by proposing an analogous time-domain approach. Next, an analytical form for the point spread function (PSF) of circular synthetic aperture radars (CSARs) is derived and used to speed up the recursive deconvolution for improved image quality. The system and reconstruction algorithm are applied to an experimental setting of detecting a concealed handgun in a package. Several practical considerations are discussed to ensure that the reconstruction and deconvolution can be applied successfully in retrieving good quality images. The experimental datasets and codes are available at <uri>https://adityamuppala.github.io/research/</uri>.","PeriodicalId":13272,"journal":{"name":"IEEE Transactions on Microwave Theory and Techniques","volume":"73 3","pages":"1799-1808"},"PeriodicalIF":4.5000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Microwave Theory and Techniques","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10666829/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

This article proposes a millimeter-wave inverse circular synthetic aperture radar system and a fast time-domain wavefront reconstruction (TDWR) algorithm for near real-time, low-cost imaging of packages and concealed objects. An 80-GHz frequency-modulated continuous-wave (FMCW) radar illuminates targets on a high-speed rotating turntable driven by a precision motor system. Data are collected over a synthetic circular aperture and processed to form high-resolution images of targets. To achieve real-time operation, a fast and accurate time-domain reconstruction and deconvolution imaging algorithm is proposed. The image formation is based on frequency-domain wavefront reconstruction for circular arrays that is adapted to FMCW radars by proposing an analogous time-domain approach. Next, an analytical form for the point spread function (PSF) of circular synthetic aperture radars (CSARs) is derived and used to speed up the recursive deconvolution for improved image quality. The system and reconstruction algorithm are applied to an experimental setting of detecting a concealed handgun in a package. Several practical considerations are discussed to ensure that the reconstruction and deconvolution can be applied successfully in retrieving good quality images. The experimental datasets and codes are available at https://adityamuppala.github.io/research/.
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
使用快速时域重建的 FMCW 反环形合成孔径雷达
本文提出了一种毫米波反圆合成孔径雷达系统和一种快速时域波前重构(TDWR)算法,用于近实时、低成本的封装和隐藏物体成像。一种80ghz调频连续波(FMCW)雷达在精密电机系统驱动下照亮高速旋转转台上的目标。数据在一个合成的圆形孔径上收集,并经过处理形成目标的高分辨率图像。为了实现实时操作,提出了一种快速准确的时域重构和反褶积成像算法。图像的形成是基于频域波前重构的圆形阵列,通过提出一种类似的时域方法来适应FMCW雷达。其次,导出了圆形合成孔径雷达(CSARs)点扩散函数(PSF)的解析形式,并用于加速递推反卷积以提高图像质量。将该系统及其重构算法应用于包裹中隐藏手枪的检测实验。为了保证重建和反卷积能够成功地应用于检索高质量的图像,讨论了几个实际问题。实验数据集和代码可在https://adityamuppala.github.io/research/上获得。
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
IEEE Transactions on Microwave Theory and Techniques
IEEE Transactions on Microwave Theory and Techniques 工程技术-工程:电子与电气
CiteScore
8.60
自引率
18.60%
发文量
486
审稿时长
6 months
期刊介绍: The IEEE Transactions on Microwave Theory and Techniques focuses on that part of engineering and theory associated with microwave/millimeter-wave components, devices, circuits, and systems involving the generation, modulation, demodulation, control, transmission, and detection of microwave signals. This includes scientific, technical, and industrial, activities. Microwave theory and techniques relates to electromagnetic waves usually in the frequency region between a few MHz and a THz; other spectral regions and wave types are included within the scope of the Society whenever basic microwave theory and techniques can yield useful results. Generally, this occurs in the theory of wave propagation in structures with dimensions comparable to a wavelength, and in the related techniques for analysis and design.
期刊最新文献
Coherent Dual-Band Dual-Chirp Microwave Waveform Generation Based on a Polarization-Multiplexed Optoelectronic Oscillator Real-Time High-Accuracy Digital Wireless Time, Frequency, and Phase Calibration for Coherent Distributed Antenna Arrays Broadband Frequency Reconfigurable Resonator for Rydberg Atomic Enhancement Sensing Arbitrary Microwave Waveform Generation Based on Optical Domain Modulation Real-Time Deployment of Pruned Unsupervised DNN for Blind Equalization in a Photonics-Aided W-Band Wireless System
×
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:604180095
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