A feasibility study of microwave UAV imaging based on multi-station polarimetric radars

IF 2.2 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Journal of Computational Electronics Pub Date : 2024-06-12 DOI:10.1007/s10825-024-02185-2

Haolin Zhang, Jiaxin Xie, Yabo Liu, Xin Zhao, Zhongjun Yu, Zicheng Wang, Shichao Chen

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.

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基于多站偏振雷达的无人飞行器微波成像可行性研究

有效监管无人驾驶飞行器（UAV）对社会和公共安全至关重要。本文提出了一种针对多站偏振雷达的微波无人机成像方法。本文建立了一个偏振远场散射模型，以提出各种多站雷达配置的反散射问题。\在反演中加入了（\mathscr {L}_1\）正则化，以实现高空间分辨率。以典型的四旋翼无人机为目标，利用 FEKO 进行了数值实验。给出了双偏振和多站雷达配置以及多种观测范围的极化依赖性重建结果。空间分辨率研究揭示了所提算法的分辨率，并分析了分辨率与多种因素之间的关系。结果验证了利用多站偏振雷达进行微波无人机成像的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED

CiteScore

4.50

自引率

4.80%

发文量

142

审稿时长

>12 weeks

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.