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首页> 外文期刊>Microwave Theory and Techniques, IEEE Transactions on >A Rotating Synthetic Aperture Radar Imaging Concept for Robot Navigation
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A Rotating Synthetic Aperture Radar Imaging Concept for Robot Navigation

机译:用于机器人导航的旋转合成孔径雷达成像概念

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This paper introduces a concept for robot navigation based on a rotating synthetic aperture short-range radar scanner. It uses an innovative broadband holographic reconstruction algorithm, which overcomes the typical problem of residual phase errors caused by an imprecisely measured aperture position and moving targets. Thus, it is no longer necessary to know the exact trajectory of the synthetic aperture radar to get a high-resolution image, which is a major advantage over the classical holographic reconstruction algorithm. However, the developed algorithm is not only used to compute a high-resolution 360$^{circ}$ 2-D image after each turn of the radar platform while the robot is moving, but also to calculate the relative residual radial velocity between the moving radar scanner system and all targets in the environment. This allows us to determine the exact velocity of the robotic system on which the radar scanner is mounted, and thus to obtain the exact radar trajectory, if there are stationary targets like walls in the environment.
机译:本文介绍了一种基于旋转合成孔径短程雷达扫描仪的机器人导航概念。它使用了创新的宽带全息重建算法,该算法克服了由于光圈位置和移动目标的测量不精确而导致的典型相位误差问题。因此,不再需要知道合成孔径雷达的确切轨迹来获得高分辨率图像,这是相对于经典全息重建算法的主要优势。但是,开发的算法不仅可用于在机器人移动时每次雷达平台转弯后计算高分辨率的360°二维图像,而且还可用于计算机器人之间的相对残余径向速度。移动雷达扫描仪系统以及环境中的所有目标。这使我们能够确定安装了雷达扫描仪的机器人系统的准确速度,从而在环境中有固定目标(例如墙壁)的情况下获得准确的雷达轨迹。

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