二维频模跳频OAM雷达运动目标联合方位-速度估计

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Sihui Chen;Yi Liao;Songjun Han;Mengdao Xing
{"title":"二维频模跳频OAM雷达运动目标联合方位-速度估计","authors":"Sihui Chen;Yi Liao;Songjun Han;Mengdao Xing","doi":"10.1109/JSEN.2025.3580840","DOIUrl":null,"url":null,"abstract":"Traditional pulsed orbital angular momentum (OAM) radars sequentially switch OAM modes between pulses to estimate target azimuth by leveraging intermodal phase differences. However, this approach is inherently limited because target radial velocity introduces Doppler-related phase variations across pulses, which corrupt the intermodal phase differences and degrade azimuth estimation accuracy. To address this challenge, we propose an OAM-based 2-D frequency-mode hopping radar (FMHR) that integrates OAM-frequency hopping via established 2-D frequency-mode coding. This scheme enhances target information acquisition by expanding the joint parameter space dimensionality and improving signal orthogonality. Simultaneously, interpulse parameter agility is employed to resolve range ambiguities. Furthermore, we develop a dedicated sparse reconstruction model for FMHR to achieve phase decoupling and enable high-range resolution through synthetic bandwidth. Comprehensive numerical simulations validate the system’s effectiveness and demonstrate its superior performance in suppressing deceptive jamming compared to conventional methods.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 15","pages":"29053-29063"},"PeriodicalIF":4.3000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Joint Azimuth-Velocity Estimation for Moving Targets With 2-D Frequency-Mode Hopping OAM Radar\",\"authors\":\"Sihui Chen;Yi Liao;Songjun Han;Mengdao Xing\",\"doi\":\"10.1109/JSEN.2025.3580840\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional pulsed orbital angular momentum (OAM) radars sequentially switch OAM modes between pulses to estimate target azimuth by leveraging intermodal phase differences. However, this approach is inherently limited because target radial velocity introduces Doppler-related phase variations across pulses, which corrupt the intermodal phase differences and degrade azimuth estimation accuracy. To address this challenge, we propose an OAM-based 2-D frequency-mode hopping radar (FMHR) that integrates OAM-frequency hopping via established 2-D frequency-mode coding. This scheme enhances target information acquisition by expanding the joint parameter space dimensionality and improving signal orthogonality. Simultaneously, interpulse parameter agility is employed to resolve range ambiguities. Furthermore, we develop a dedicated sparse reconstruction model for FMHR to achieve phase decoupling and enable high-range resolution through synthetic bandwidth. Comprehensive numerical simulations validate the system’s effectiveness and demonstrate its superior performance in suppressing deceptive jamming compared to conventional methods.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"25 15\",\"pages\":\"29053-29063\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2025-06-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11049857/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/11049857/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

摘要

传统的脉冲轨道角动量(OAM)雷达利用脉冲间的相位差,在脉冲间依次切换OAM模式来估计目标方位。然而,这种方法存在固有的局限性,因为目标径向速度会引入脉冲间多普勒相关的相位变化,这会破坏模态间相位差并降低方位角估计精度。为了解决这一挑战,我们提出了一种基于oam的二维频模跳频雷达(FMHR),该雷达通过建立的二维频模编码集成了oam跳频。该方案通过扩展联合参数空间维数和提高信号正交性来增强目标信息的获取。同时,利用脉冲间参数敏捷性解决距离模糊问题。此外,我们开发了一个专用的稀疏重建模型,用于FMHR实现相位解耦,并通过合成带宽实现高距离分辨率。综合数值仿真验证了该系统的有效性,并证明了其在抑制欺骗性干扰方面优于传统方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Joint Azimuth-Velocity Estimation for Moving Targets With 2-D Frequency-Mode Hopping OAM Radar
Traditional pulsed orbital angular momentum (OAM) radars sequentially switch OAM modes between pulses to estimate target azimuth by leveraging intermodal phase differences. However, this approach is inherently limited because target radial velocity introduces Doppler-related phase variations across pulses, which corrupt the intermodal phase differences and degrade azimuth estimation accuracy. To address this challenge, we propose an OAM-based 2-D frequency-mode hopping radar (FMHR) that integrates OAM-frequency hopping via established 2-D frequency-mode coding. This scheme enhances target information acquisition by expanding the joint parameter space dimensionality and improving signal orthogonality. Simultaneously, interpulse parameter agility is employed to resolve range ambiguities. Furthermore, we develop a dedicated sparse reconstruction model for FMHR to achieve phase decoupling and enable high-range resolution through synthetic bandwidth. Comprehensive numerical simulations validate the system’s effectiveness and demonstrate its superior performance in suppressing deceptive jamming compared to conventional methods.
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
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
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:604180095
Book学术官方微信