Iterative Strong Targets Cancellation for Multi-Target Detection in JRC Systems

IF 4.4 3区 计算机科学 Q2 TELECOMMUNICATIONS IEEE Communications Letters Pub Date : 2025-02-14 DOI:10.1109/LCOMM.2025.3542371
Xiaojuan Zhang;Yonghong Zeng;Sumei Sun
{"title":"Iterative Strong Targets Cancellation for Multi-Target Detection in JRC Systems","authors":"Xiaojuan Zhang;Yonghong Zeng;Sumei Sun","doi":"10.1109/LCOMM.2025.3542371","DOIUrl":null,"url":null,"abstract":"A Joint Radar and Communication (JRC) system utilizing 5G signals is proposed. To address the challenges of detecting multiple closely spaced targets in the range-Doppler map, an iterative strong target cancellation algorithm is introduced. This algorithm mitigates the impact of dominant targets, which can obscure weaker signals and complicate detection for conventional methods such as range- or speed-based searches and CFAR algorithms. By progressively canceling strong targets, the method enhances the detection and differentiation of weaker ones, significantly improving overall system performance. Its adaptability and robustness make it suitable for JRC systems, ensuring accurate detection in resource-constrained and spectrum-sharing environments. A JRC prototype based on software-defined radio (SDR) is developed. Extensive simulations and experiments with the prototype validate the algorithm’s effectiveness.","PeriodicalId":13197,"journal":{"name":"IEEE Communications Letters","volume":"29 4","pages":"734-738"},"PeriodicalIF":4.4000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Communications Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10891041/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
引用次数: 0

Abstract

A Joint Radar and Communication (JRC) system utilizing 5G signals is proposed. To address the challenges of detecting multiple closely spaced targets in the range-Doppler map, an iterative strong target cancellation algorithm is introduced. This algorithm mitigates the impact of dominant targets, which can obscure weaker signals and complicate detection for conventional methods such as range- or speed-based searches and CFAR algorithms. By progressively canceling strong targets, the method enhances the detection and differentiation of weaker ones, significantly improving overall system performance. Its adaptability and robustness make it suitable for JRC systems, ensuring accurate detection in resource-constrained and spectrum-sharing environments. A JRC prototype based on software-defined radio (SDR) is developed. Extensive simulations and experiments with the prototype validate the algorithm’s effectiveness.
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
JRC系统中多目标检测的迭代强目标抵消
提出了一种利用5G信号的联合雷达与通信(JRC)系统。针对距离-多普勒图中多个近距离目标的检测问题,提出了一种迭代强目标抵消算法。该算法减轻了优势目标的影响,优势目标会掩盖较弱的信号,并使传统方法(如基于距离或速度的搜索和CFAR算法)的检测复杂化。该方法通过逐步消除强目标,增强了对弱目标的检测和区分,显著提高了系统的整体性能。它的适应性和鲁棒性使其适用于JRC系统,确保在资源受限和频谱共享环境下的准确检测。研制了一种基于软件定义无线电(SDR)的JRC样机。大量的仿真和样机实验验证了该算法的有效性。
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
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
期刊最新文献
A Joint Pilot-Data Sparse Vector Transmission Framework for Short-Packet URLLC Short-Packet Communications for Pinching-Antenna Systems Satellite Coverage Probability With Multi-RIS Deployments Under Correlated LoS Conditions Lightweight Federated Learning Based on SNNs and Gradient Quantization Clipping PAD-STT: A Pre-Denoising Adaptive Decomposition Spatial–Temporal Transformer for Cellular Traffic Prediction
×
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