Two-dimensional NUFFT-based algorithm for fast near-field imaging

Shiyong Li*, Houjun Sun, Bocheng Zhu, Rong Liu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

29 Citations (Scopus)

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 languageEnglish
Article number5555930
Pages (from-to)814-817
Number of pages4
JournalIEEE Antennas and Wireless Propagation Letters
Volume9
DOIs
Publication statusPublished - 2010

Keywords

  • Near-field imaging
  • nonuniform fast Fourier transformation (NUFFT)
  • tomographic method

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