{"title":"A feasibility study of microwave UAV imaging based on multi-station polarimetric radars","authors":"Haolin Zhang, Jiaxin Xie, Yabo Liu, Xin Zhao, Zhongjun Yu, Zicheng Wang, Shichao Chen","doi":"10.1007/s10825-024-02185-2","DOIUrl":null,"url":null,"abstract":"<div><p>Effective regulation of unmanned aerial vehicles (UAVs) is crucial to social and public safety. In this paper, a microwave UAV imaging method is proposed for multi-station polarimetric radars. A polarimetric far-field scattering model is built to formulate the inverse scattering problem for various multi-station radar configurations. <span>\\(\\mathscr {L}_1\\)</span>-norm regularization is incorporated in the inversion to realize a high spatial resolution. Numerical experiments are carried out with FEKO taking a typical quadcopter UAV as the target. Reconstruction results with polarization dependence of bistatic and multi-station radar configurations and multiple observation ranges are given. A spatial resolution study reveals the resolution of the proposed algorithm and analyzes the relationship between resolution and multiple factors. The results validate the feasibility of microwave UAV imaging with multi-station polarimetric radars.</p></div>","PeriodicalId":620,"journal":{"name":"Journal of Computational Electronics","volume":"23 4","pages":"819 - 831"},"PeriodicalIF":2.2000,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Computational Electronics","FirstCategoryId":"5","ListUrlMain":"https://link.springer.com/article/10.1007/s10825-024-02185-2","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Effective regulation of unmanned aerial vehicles (UAVs) is crucial to social and public safety. In this paper, a microwave UAV imaging method is proposed for multi-station polarimetric radars. A polarimetric far-field scattering model is built to formulate the inverse scattering problem for various multi-station radar configurations. \(\mathscr {L}_1\)-norm regularization is incorporated in the inversion to realize a high spatial resolution. Numerical experiments are carried out with FEKO taking a typical quadcopter UAV as the target. Reconstruction results with polarization dependence of bistatic and multi-station radar configurations and multiple observation ranges are given. A spatial resolution study reveals the resolution of the proposed algorithm and analyzes the relationship between resolution and multiple factors. The results validate the feasibility of microwave UAV imaging with multi-station polarimetric radars.
期刊介绍：
he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered.
In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
