Abstract
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.
Original language | English |
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Article number | 5555930 |
Pages (from-to) | 814-817 |
Number of pages | 4 |
Journal | IEEE Antennas and Wireless Propagation Letters |
Volume | 9 |
DOIs | |
Publication status | Published - 2010 |
Keywords
- Near-field imaging
- nonuniform fast Fourier transformation (NUFFT)
- tomographic method