Imaging Moving Targets for a Forward Scanning Automotive SAR

David Wright (Creator)
Liam Daniel (Creator)
Bernard Mulgrew (Creator)
Marina Gashinova (Creator)
Shahzad Gishkori (Creator)

School of Engineering

Dataset

Abstract

In the paper, we extend the forward-scanning Synthetic Aperture Radar (SAR) methodology to reconstruct images of the moving targets, for a forward-looking automotive radar. This dataset is used to show the performance of our proposed algorithm. A *.mat file contains the data. The data can be read via the provided *.m file in Matlab.

Data Citation

Gishkori, Shahzad; Wright, David; Daniel, Liam; Gashinova, Marina; Mulgrew, Bernard. (2019). Imaging Moving Targets for a Forward Scanning Automotive SAR, [dataset]. The University of Edinburgh. The School of Engineering. Institute for Digital Communications.. https://doi.org/10.7488/ds/2586.

Date made available	12 Jul 2019
Publisher	Edinburgh DataShare

DOI
10.7488/ds/2586

Access Dataset

https://doi.org/10.1109/TAES.2019.2925446

1 Article

Imaging Moving Targets for a Forward Scanning Automotive SAR
Gishkori, S., Wright, D., Daniel, L., Gashinova, M. & Mulgrew, B., 27 Jun 2019, (E-pub ahead of print) In: IEEE Transactions on Aerospace and Electronic Systems. p. 1-1 1 p.
Research output: Contribution to journal › Article › peer-review

Open Access
File

1 Finished

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

Imaging Moving Targets for a Forward Scanning Automotive SAR

Abstract

Data Citation

DOI

Access Dataset

Research output

Imaging Moving Targets for a Forward Scanning Automotive SAR

Projects

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

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