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

Shiyong Li; Houjun Sun; Bocheng Zhu; Rong Liu

doi:10.1109/LAWP.2010.2069550

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

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

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Research output: Contribution to journal › Article › peer-review

32 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 language	English
Article number	5555930
Pages (from-to)	814-817
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	9
DOIs	https://doi.org/10.1109/LAWP.2010.2069550
Publication status	Published - 2010

Keywords

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

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10.1109/LAWP.2010.2069550

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title = "Two-dimensional NUFFT-based algorithm for fast near-field imaging",

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.",

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language = "English",

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AU - Li, Shiyong

AU - Sun, Houjun

AU - Zhu, Bocheng

AU - Liu, Rong

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Near-field imaging

KW - nonuniform fast Fourier transformation (NUFFT)

KW - tomographic method

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M3 - Article

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VL - 9

SP - 814

EP - 817

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

M1 - 5555930

ER -

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

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Keywords

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