FEI Company, 5651 Eindhoven, the Netherlands.
IEEE Trans Image Process. 2012 Jun;21(6):3026-33. doi: 10.1109/TIP.2012.2188036. Epub 2012 Feb 15.
This paper presents a 3-D near-field imaging algorithm that is formulated for 2-D wideband multiple-input-multiple-output (MIMO) imaging array topology. The proposed MIMO range migration technique performs the image reconstruction procedure in the frequency-wavenumber domain. The algorithm is able to completely compensate the curvature of the wavefront in the near-field through a specifically defined interpolation process and provides extremely high computational efficiency by the application of the fast Fourier transform. The implementation aspects of the algorithm and the sampling criteria of a MIMO aperture are discussed. The image reconstruction performance and computational efficiency of the algorithm are demonstrated both with numerical simulations and measurements using 2-D MIMO arrays. Real-time 3-D near-field imaging can be achieved with a real-aperture array by applying the proposed MIMO range migration techniques.
本文提出了一种适用于二维宽带多输入多输出（MIMO）成像阵列拓扑结构的三维近场成像算法。所提出的 MIMO 距离徙动技术在频波数域中执行图像重建过程。该算法通过特定定义的插值过程能够完全补偿近场中的波前曲率，并通过快速傅里叶变换的应用提供极高的计算效率。讨论了算法的实现方面和 MIMO 孔径的采样准则。通过使用二维 MIMO 阵列进行数值模拟和测量，展示了算法的图像重建性能和计算效率。通过应用所提出的 MIMO 距离徙动技术，可以使用真实孔径阵列实现实时三维近场成像。
