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Three-Dimensional Imaging Using Colocated MIMO Radar and ISAR Technique

机译:使用共置MIMO雷达和ISAR技术进行三维成像

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摘要

A conventional inverse synthetic aperture radar image is a 2-D range-Doppler projection of a target and does not provide 3-D information. Three-dimensional imaging using an interferometric technique cannot separate scatterers that have been projected onto the same range-Doppler unit. Multiple-input–multiple-output (MIMO) radar, however, in addition to having a wide virtual aperture and a high cross-range resolution, could also obtain a target's 3-D image in one snapshot. We discuss in this paper the use of time-domain information to improve MIMO radar's imaging quality. A 3-D image alignment algorithm and a rotation vector estimation method are discussed. Simulation results show that image SNR is improved and cross-range sidelobes are mitigated.
机译:传统的逆合成孔径雷达图像是目标的2D距离多普勒投影,不提供3D信息。使用干涉技术的三维成像无法分离已投影到同一距离多普勒仪上的散射体。但是,多输入多输出(MIMO)雷达除了具有较大的虚拟孔径和较高的跨范围分辨率外,还可以在一个快照中获得目标的3D图像。我们在本文中讨论了使用时域信息来改善MIMO雷达的成像质量。讨论了3-D图像对准算法和旋转矢量估计方法。仿真结果表明,改进了图像信噪比,减轻了跨范围旁瓣。

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