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

School of 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
Pages (from-to)	1420 - 1434
Number of pages	15
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	55
Issue number	3
Early online date	20 Sept 2018
DOIs	https://doi.org/10.1109/TAES.2018.2871436
Publication status	Published - 30 Jun 2019

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10.1109/TAES.2018.2871436Licence: Creative Commons: Attribution (CC-BY)

AutoSAR_J1_v5Accepted author manuscript, 7.84 MB

TASCC: Pervasive low-TeraHz and Video Sensing for Car Autonomy and Driver Assistance (PATH CAD)
Mulgrew, B. (Principal Investigator)
EPSRC
14/12/15 → 31/01/20
Project: Research

Imaging for a Forward Scanning Automotive Synthetic Aperture Radar
Gishkori, S. (Creator), Daniel, L. (Creator), Gashinova, M. (Creator) & Mulgrew, B. (Creator), Edinburgh DataShare, 20 Sept 2018
DOI: 10.7488/ds/2440
Dataset

Cite this

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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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Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Abstract

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TASCC: Pervasive low-TeraHz and Video Sensing for Car Autonomy and Driver Assistance (PATH CAD)

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Imaging for a Forward Scanning Automotive Synthetic Aperture Radar

Cite this