A transverse spectrum deconvolution technique for MIMO short-range fourier imaging

Thomas Fromenteze , Okan Yurduseven, Fabien Berland, Cyril Decroze, David R. Smith, Alexander G. Yarovoy

Research output: Contribution to journalArticleScientificpeer-review

7 Citations (Scopus)
38 Downloads (Pure)

Abstract

The growing need for high-performance imaging tools for terrorist threat detection and medical diagnosis has led to the development of new active architectures in the microwave and millimeter range. Notably, multiple-input multiple-output systems can meet the resolution constraints imposed by these applications by creating large, synthetic radiating apertures with a limited number of antennas used independently in transmitting and receiving signals. However, the implementation of such systems is coupled with strong constraints in the software layer, requiring the development of reconstruction techniques capable of interrogating the observed scene by optimizing both the resolution of images reconstructed in two or three dimensions and the associated computation times. In this paper, we first review the formalisms and constraints associated with each application by taking stock of efficient processing techniques based on spectral decompositions, and then, we present a new technique called the transverse spectrum deconvolution range migration algorithm allowing us to carry out reconstructions that are both faster and more accurate than with conventional Fourier domain processing techniques. This paper is particularly relevant to the development of new computational imaging tools that require, even more pronouncedly than in the case of conventional architectures, fast image computing techniques despite a very large number of radiating elements interrogating the scene to be imaged.

Original languageEnglish
Article number8681721
Pages (from-to)6311-6324
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume57
Issue number9
DOIs
Publication statusPublished - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care 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.

Keywords

  • MIMO radar
  • microwave imaging
  • millimeter wave radar
  • multistatic radar

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