Two-Dimensional NUFFT-Based Algorithm for Fast Near-Field Imaging
Two-Dimensional NUFFT-Based Algorithm for Fast Near-Field Imaging
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DOI：
10.1109/lawp.2010.2069550
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发表时间：
2010-01-01
影响因子：
4.2
通讯作者：
Liu, Rong
中科院分区：
文献类型：
--
作者：
Li, Shiyong;Sun, Houjun;Liu, Rong
提出了一种快速准确的近场成像算法。首先，一个二维（2-D）非均匀快速傅立叶变换（NUFFT）直接施加到近场散射数据。其次，通过将NUFFT图像映射到新的校正网格来补偿圆形波前曲率。基于2-D NUFFT的算法直接利用在极坐标网格上收集的数据，从而避免了极坐标到矩形的插值。通过数值模拟，我们表明，基于二维NUFFT的算法可以提供准确的图像，具有较低的旁瓣，是远远快于近场层析方法。
A fast and accurate algorithm for near-field imaging is presented. First, a two-dimensional (2-D) nonuniform fast Fourier transformation (NUFFT) is directly applied to the near-field scattered data. Second, the circular wavefront curvature is compensated by mapping the NUFFT images to a new rectified grid. The 2-D NUFFT-based algorithm directly exploits the data collected over a polar grid and accordingly avoids the polar to rectangular interpolation. Through numerical simulations, we show that the 2-D NUFFT-based algorithm can provide accurate images with lower sidelobes and is much faster than the near-field tomographic method.