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Three-dimensional near-field MIMO array imaging using range migration techniques

  • Xiaodong Zhuge*
  • , Alexander G. Yarovoy
  • *Corresponding author for this work
  • Thermo Fisher Scientific, Inc.
  • Delft University of Technology

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

Abstract

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.

Original languageEnglish
Article number6153063
Pages (from-to)3026-3033
Number of pages8
JournalIEEE Transactions on Image Processing
Volume21
Issue number6
DOIs
StatePublished - Jun 2012
Externally publishedYes

Keywords

  • Multiple-input multiple-output (MIMO)
  • Near-field imaging
  • Range migration
  • Sparse array

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