Daniel, Liam

Gashinova, Marina

Gishkori, Shahzad

Mulgrew, Bernard

English

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

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Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

https://www.research.ed.ac.uk/portal/files/76663305/AutoSAR_J1_v5.pdf

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

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