Imaging Moving Targets for a Forward Scanning Automotive SAR

S. Gishkori, D. Wright, Liam Daniel, M. Gashinova, B. Mulgrew

Research output: Contribution to journalArticlepeer-review


In this paper, we extend the forward-scanning 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 optimisation 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 maximisation. 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
Pages (from-to)1-1
Number of pages1
JournalIEEE Transactions on Aerospace and Electronic Systems
Early online date27 Jun 2019
Publication statusE-pub ahead of print - 27 Jun 2019


  • Radar imaging
  • Sparse matrices
  • Automotive engineering
  • Matrix decomposition
  • Imaging
  • Synthetic aperture radar
  • Automotive (forward-looking) SAR
  • Imaging moving targets
  • angular resolution
  • low-rank matrix decomposition


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