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Generalized range migration algorithm for synthetic aperture radar image reconstruction of metasurface antenna measurements

机译:综合范围迁移算法用于元曲面天线测量的合成孔径雷达图像重构

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摘要

Waveguide-fed dynamic metasurface antennas (DMAs) can be used in a variety of synthetic aperture radar (SAR) modalities for microwave and millimeter-wave imaging. The DMA consists of an electrically large array of resonant, dynamically reconfigurable metamaterial radiators, each excited by the fields of a guided wave. A given metamaterial element can be modeled as a polarizable dipole, with polarizability that equates to a complex weighting factor in the context of antenna array calculations. The DMA produces a sequence of diverse radiation patterns as a function of the weights, which can be rapidly varied by external control. The unconventional radiation patterns of the DMA, however, introduce added computational complexity for traditional SAR processing algorithms. One SAR reconstruction approach that has successfully been adapted for the static (motionless) DMA is the range migration algorithm (RMA). Here, we extend the RMA to scenarios in which the DMA is physically translated in one or two dimensions, deriving the RMA for each case and providing experimental demonstrations using a fabricated microstrip-based DMA. Excellent reconstruction quality is observed in all cases, verifying the efficacy of the proposed algorithms and demonstrating the imaging capabilities of the DMA in the synthetic aperture context. The combination of the DMA platform with efficient reconstruction algorithms can find applications in fields such as Earth observation, security screening, and autonomous vehicle navigation. (C) 2017 Optical Society of America
机译:波导馈送动态元质面积天线(DMA)可用于微波和毫米波成像的各种合成孔径雷达(SAR)方式。 DMA包括电大阵列的谐振阵列,动态可重新配置的超材料散热器,每个辐射器被引导波的字段激发。给定的超材料元素可以被建模为可极化的偶极子,具有极化性,其等于天线阵列计算的上下文中的复重加权因子。 DMA产生一系列不同的辐射图案,作为重量的函数,其可以通过外部控制迅速变化。然而,DMA的非常规辐射模式引入了传统SAR处理算法的增加的计算复杂性。已成功适用于静态(可动)DMA的一个SAR重建方法是范围迁移算法(RMA)。这里,我们将RMA扩展到DMA以一个或两个维度物理地翻译,从而导出每种情况的RMA并使用制造的基于微带的DMA提供实验示范。在所有情况下观察到出色的重建质量,验证所提出的算法的功效并证明在合成孔径上下文中的DMA的成像能力。 DMA平台与有效的重建算法的组合可以在地球观察,安全筛选和自主车辆导航等领域中找到应用。 (c)2017年光学学会

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