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Cylindrical MIMO Array-Based Near-Field Microwave Imaging

机译:基于圆柱形MIMO阵列的近场微波成像

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摘要

Microwave/millimeter-wave imaging has a wide prospect in applications of concealed weapons detection. The main problem of the existing techniques lies in the contradiction between the imaging speed and the system cost. In this respect, a cylindrical sparse multiple-input–multiple-output (MIMO) array topology is proposed, which has no mechanical scanning so as to achieve fast sampling process. Furthermore, it can provide more angular observations than the mainly used systems with a planar aperture. To speed up the image reconstruction process, a phase center approximation-based transformation is made to convert the multistatic sampling scheme to its monostatic counterpart for which there are more fast and tractable imaging algorithms. Then, a phase calibration method is presented after we analyze the error of such an equivalence. In so doing, the cylindrical MIMO topology is transformed into an approximate monostatic one. Finally, a wavenumber domain algorithm is employed to attain the fast image reconstruction. Numerical simulations are provided to demonstrate the performance improvement of the proposed technique.
机译:微波/毫米波成像在隐藏武器检测中具有广泛的前景。现有技术的主要问题在于成像速度与系统成本之间的矛盾。在这方面,提出了一种圆柱形稀疏多输入多输出(MIMO)阵列拓扑,其没有机械扫描,以实现快速采样过程。此外,它可以提供比具有平面孔径的主要使用的系统更多的角度观察。为了加速图像重建过程,使基于相位中心的基于近似的变换转换为其单声道对应物将多晶体采样方案转换为其具有更快速和易易移动的成像算法。然后,在我们分析这种等价的错误之后,提出了一种相位校准方法。在这样做时,圆柱形MIMO拓扑变换成近似的单体拓扑。最后,采用波数域算法来获得快速图像重建。提供了数值模拟,以证明所提出的技术的性能提高。

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