Imaging Moving Targets for a Forward-Scanning Automotive SAR

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, we extend the forward-scanning synthetic aperture radar (SAR) methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. We adapt a matrix decomposition approach to forward-scanning SAR in order to separate moving targets from clutter/stationary objects. To solve our optimization problem, we propose an iterative solution based on augmented Lagrangian method. Image focusing, over the synthetic aperture, is achieved through spatial segmentation and cross-correlation maximization. Our proposed method results in well-focused imaging of the moving targets with enhanced angular resolution. Experimental results from simulation as well as real-data corroborate our proposed methodology.

Original languageEnglish
Article number8747392
Pages (from-to)1106-1119
Number of pages14
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume56
Issue number2
DOIs
Publication statusPublished - Apr 2020

Bibliographical note

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

Publisher Copyright:
© 1965-2011 IEEE.

Keywords

  • Angular resolution (AR)
  • automotive (forward-looking) synthetic aperture radar (SAR)
  • imaging moving targets
  • low-rank matrix decomposition

ASJC Scopus subject areas

  • Aerospace Engineering
  • Electrical and Electronic Engineering

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