MilliCam:手持毫米波成像

M. Saadat, Sanjib Sur, Srihari Nelakuditi, P. Ramanathan
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引用次数: 9

摘要

我们展示了MilliCam,一个可以捕捉小金属物体形状的系统,比如枪,穿过障碍物,比如衣服。MilliCam建立在毫米波(mmWave)成像系统的基础上,该系统目前广泛用于机场安全检查站。现有系统使用合成孔径雷达(SAR)原理实现高分辨率,但需要笨重的运动控制器来精确定位毫米波设备。相比之下,MilliCam通过纯手动滑动来模拟SAR原理。然而,无别名、高分辨率成像需要线性、无差错的手部滑动动作。此外,聚焦于感兴趣对象的图像需要在目标场景上引导形状完美的光束;但它在现成的设备中是不可用的。我们设计了一套算法来实现高质量的手持成像:补偿手部滑动运动中的误差;在没有波束引导的情况下,对目标场景进行数字化聚焦。我们已经在60 GHz的测试台上制作了MilliCam原型。实验表明,MilliCam可以有效地对抗运动误差,并对目标场景中的物体进行聚焦。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MilliCam: Hand-held Millimeter-Wave Imaging
We present MilliCam, a system that captures the shape of small metallic objects, such as a gun, through obstructions, like clothing. MilliCam builds on the millimeter-wave (mmWave) imaging systems, which are widely used today in airport security checkpoints. Existing systems achieve high-resolution using a Synthetic Aperture Radar (SAR) principle, but require bulky motion controllers to position the mmWave device precisely. In contrast, MilliCam emulates the SAR principle by pure hand-swiping. However, alias-free, high-resolution imaging requires a linear, error-free hand-swiping motion. Furthermore, image focusing on an object of interest requires steering perfectly-shaped beam over the target-scene; but it is unavailable in off-the-shelf devices. We design a set of algorithms to enable high-quality handheld imaging: compensating for the errors in hand-swipe motion; and focusing the target-scene digitally without beam-steer. We have prototyped MilliCam on a 60 GHz testbed. Our experiments demonstrate that MilliCam can effectively combat motion errors and focus on the object in target-scene.
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