Fourier Accelerated Multistatic Imaging: A Fast Reconstruction Algorithm for Multiple-Input-Multiple-Output Radar Imaging

Daniel Marks, Okan Yurduseven, David Smith

Research output: Contribution to journalArticle

17 Citations (Scopus)
57 Downloads (Pure)

Abstract

Multiple-input-multiple-output (MIMO) radar image processing presents problems difficult to address by modifying conventional monostatic radar methods as Fourier range migration. When the distance between the transmitter and receiver is comparable to the target size, the single phase center approximation is not accurate. Furthermore, if the antenna radiation pattern significantly deviates from a spherical wave, the symmetries assumed in most range migration techniques are violated. We present a rapid Fourier-based MIMO reconstruction called Fourier accelerated multistatic imaging (FAMI) suitable for massively parallel computation that accounts for frequency-dependent radiation patterns, does not require the single phase center approximation, and is able to dynamically adapt to different target support volume shapes. FAMI is especially suitable for frequency-diversity antenna systems that use spectrally modulated coded spatial radiation patterns.
Original languageEnglish
JournalIEEE Access
Volume5
DOIs
Publication statusPublished - 20 Feb 2017
Externally publishedYes

Keywords

  • MIMO
  • GPU acceleration
  • GPU computing
  • RADAR

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