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 language | English |
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Article number | 8747392 |
Pages (from-to) | 1106-1119 |
Number of pages | 14 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 56 |
Issue number | 2 |
DOIs | |
Publication status | Published - 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