NUFFT-Based Range Migration for 3-D Imaging with Irregular Planar Array

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In this paper, a Nonuniform fast Fourier transform (NUFFT)-based range migration algorithm (RMA) is proposed for three-dimensional (3-D) imaging with irregular planar arrays. The proposed imaging algorithm takes advantage of NUFFT to reconstruct the signal spectra in the wavenumber domain, which overcomes the constraint of irregular spatial sampling on the utilization of Fourier-based imaging algorithms. Compared to the conventional coherent summation algorithms, i.e., backprojection and Kirchhoff migration, it is a very efficient method for 3-D image formation with nonuniform spatial sampling. To demonstrate its imaging performance, some numerical simulations are presented and discussed.
Original languageEnglish
Title of host publication2019 International Conference on Electromagnetics in Advanced Applications (ICEAA)
Subtitle of host publicationProceedings
Place of PublicationDanvers
Number of pages5
ISBN (Electronic)978-1-7281-0563-5
ISBN (Print)978-1-7281-0564-2
Publication statusPublished - 2019
EventInternational Conference on Electromagnetics in Advanced Applications, 2019 - Granada, Spain, Granada, Spain
Duration: 9 Sep 201913 Sep 2019
Conference number: 2019


ConferenceInternational Conference on Electromagnetics in Advanced Applications, 2019
Abbreviated titleICEAA

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


  • Nonuniform fast Fourier transform (NUFFT)
  • Nonuniform spatial sampling
  • Planar array
  • Range migration
  • Three-dimensional(3-D) imaging


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