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High-Resolution and Real-Time Three-Dimensional Imaging Algorithm With Envelopes of Spheres for UWB Radars

机译:UWB雷达球面包络的高分辨率实时三维成像算法

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Ultrawideband pulse radars have a great potential for high-range resolution in near field imaging and can be used for noncontact measuring in precision or specular products such as reflector antennas and aircraft fuselages. We have already proposed a high-speed 3-D imaging algorithm, SEABED, which is based on a reversible transform, which is the boundary scattering transform, between the received signals and the target shape. However, the estimated image with SEABED is unstable with random noise because it utilizes a derivative of the received data. In this paper, we propose a robust 3-D imaging algorithm with an envelope of spheres that completely resolves the instability due to derivative operations. Moreover, to enhance the resolution of estimated images, this method is combined with a direct waveform compensation method that does not sacrifice high-speed calculation. Numerical simulations and an experiment confirm that the proposed method can realize fast, robust, and high-resolution 3-D imaging for arbitrary targets.
机译:超宽带脉冲雷达在近场成像中具有高分辨率的巨大潜力,可用于高精度或镜面产品(如反射器天线和飞机机身)的非接触式测量。我们已经提出了一种高速3-D成像算法SEABED,该算法基于接收信号和目标形状之间的可逆变换(即边界散射变换)。但是,具有SEABED的估计图像由于随机噪声而不稳定,因为它利用了接收数据的导数。在本文中,我们提出了一种具有球形包络的鲁棒3D成像算法,该算法完全解决了因导数运算引起的不稳定性。此外,为了提高估计图像的分辨率,此方法与不牺牲高速计算的直接波形补偿方法结合使用。数值模拟和实验证明,该方法可以对任意目标实现快速,鲁棒和高分辨率的3D成像。

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