Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Shahzad Gishkori; Liam Daniel; Marina Gashinova; Bernard Mulgrew

doi:10.1109/TAES.2018.2871436

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Shahzad Gishkori^*
, Liam Daniel
, Marina Gashinova
, Bernard Mulgrew

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

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 language	English
Article number	8469095
Pages (from-to)	1420-1434
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	55
Issue number	3
DOIs	https://doi.org/10.1109/TAES.2018.2871436
Publication status	Published - Jun 2019

Bibliographical note

Funding Information:
This work was supported in part by the Jaguar Land Rover and in part by the UK-EPSRC under Grant EP/N012240/1 and Grant EP/N012372/1 as a part of the jointly funded programme Towards Autonomy: Smart and Connected Control (TASCC).

Publisher Copyright:
© 1965-2011 IEEE.

Keywords

angular resolution (AR)
Automotive (Auto-) synthetic aperture radar (SAR)
back-projection (BP)
compressed sensing (CS)
forward-looking (FL) SAR
terahertz (THz)

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TAES.2018.2871436

Cite this

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title = "Imaging for a Forward Scanning Automotive Synthetic Aperture Radar",

abstract = "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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author = "Shahzad Gishkori and Liam Daniel and Marina Gashinova and Bernard Mulgrew",

note = "Funding Information: This work was supported in part by the Jaguar Land Rover and in part by the UK-EPSRC under Grant EP/N012240/1 and Grant EP/N012372/1 as a part of the jointly funded programme Towards Autonomy: Smart and Connected Control (TASCC). Publisher Copyright: {\textcopyright} 1965-2011 IEEE.",

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Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this