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Imaging Moving Targets for a Forward Scanning Automotive SAR

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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


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.

    Research areas

  • 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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