Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Shahzad Gishkori*, Liam Daniel, Marina Gashinova, Bernard Mulgrew

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we propose a forward scanning synthetic aperture radar methodology for a forward-looking automotive (low-terahertz) radar, which combines scene scanning with synthetic aperture processing, resulting in enhanced angular resolution and improved imaging. We propose two algorithms, first, a modified back-projection (BP) algorithm and, second, a compressed sensing-based BP algorithm. We suggest techniques to reduce computational complexity of the proposed algorithms. Results of simulation and real-data experiments corroborate the validity of our proposed methodology and algorithms.

Original languageEnglish
Article number8469095
Pages (from-to)1420-1434
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume55
Issue number3
DOIs
Publication statusPublished - Jun 2019

Bibliographical note

Funding Information:
This work was supported in part by the Jaguar Land Rover and in part by the UK-EPSRC under Grant EP/N012240/1 and Grant EP/N012372/1 as a part of the jointly funded programme Towards Autonomy: Smart and Connected Control (TASCC).

Publisher Copyright:
© 1965-2011 IEEE.

Keywords

  • angular resolution (AR)
  • Automotive (Auto-) synthetic aperture radar (SAR)
  • back-projection (BP)
  • compressed sensing (CS)
  • forward-looking (FL) SAR
  • terahertz (THz)

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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