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Accuracy enhanced RPM method using Doppler based range points clustering for 140GHz band UWB radar

机译:基于多普勒测距点聚类的140GHz波段UWB雷达的精度增强RPM方法

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140 GHz ultra-wideband millimeter wave radars significantly expand the capacities of three-dimensional (3-D) imaging sensors, making them suitable for short-range surveillance or security purposes. For such applications, we have already developed the range points migration (RPM) method, which achieves highly accurate 3-D boundary extraction. However, to deal with multiple targets with many reflection points, such as a human body, this method suffers from an inaccuracy and an expensive computational cost. As a solution for such difficulty, this paper introduces a Doppler based range points clustering into the RPM method. Results from numerical simulations assuming 140 GHz millimeter radars show that the proposed method achieves more accurate 3-D image associated with Doppler velocity, without sacrificing computational efficiency.
机译:140 GHz超宽带毫米波雷达极大地扩展了三维(3-D)成像传感器的容量,使其适合于短距离监视或安全目的。对于此类应用,我们已经开发了测距点偏移(RPM)方法,该方法可实现高精度的3D边界提取。然而,为了处理具有许多反射点的多个目标,例如人体,该方法遭受不精确和昂贵的计算成本的困扰。作为解决此类难题的方法,本文将基于多普勒的测距点聚类引入RPM方法。假设140 GHz毫米雷达的数值模拟结果表明,该方法可在不牺牲计算效率的情况下获得与多普勒速度相关的更精确的3D图像。

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