Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Shahzad Gishkori, Liam Daniel, Marina Gashinova, Bernard Mulgrew

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

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.
Original languageEnglish
Pages (from-to)1420 - 1434
Number of pages15
JournalIEEE Transactions on Aerospace and Electronic Systems
Volume55
Issue number3
Early online date20 Sept 2018
DOIs
Publication statusPublished - 30 Jun 2019

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