Forward Scanning Automotive SAR with Moving Targets

Shahzad Gishkori; David Wright; Liam Daniel; Marina Gashinova; Bernard Mulgrew

doi:10.1109/RADAR41533.2019.171241

Forward Scanning Automotive SAR with Moving Targets

Shahzad Gishkori, David Wright, Liam Daniel, Marina Gashinova, Bernard Mulgrew

Electronic, Electrical and Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In this paper, we present image reconstruction of moving targets with a forward-scanning automotive SAR. We adapt a matrix decomposition approach in order to separate the moving targets from clutter/stationary objects. We present an augmented Lagrangian method based iterative solution. We propose image focusing through spatial segmentation and cross-correlation maximisation. Our proposed method also results in enhanced angular resolution. We present experimental results to verify our proposed methodology.

Original language	English
Title of host publication	2019 International Radar Conference, RADAR 2019
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9781728126609
DOIs	https://doi.org/10.1109/RADAR41533.2019.171241
Publication status	Published - Sept 2019
Event	2019 International Radar Conference, RADAR 2019 - Toulon, France Duration: 23 Sept 2019 → 27 Sept 2019

Publication series

Name	2019 International Radar Conference, RADAR 2019

Conference

Conference	2019 International Radar Conference, RADAR 2019
Country/Territory	France
City	Toulon
Period	23/09/19 → 27/09/19

Bibliographical note

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

Publisher Copyright:
© 2019 IEEE.

Keywords

angular resolution
Automotive SAR
Imaging moving targets
low-rank matrix decomposition

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Signal Processing
Instrumentation

Access to Document

10.1109/RADAR41533.2019.171241

Cite this

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title = "Forward Scanning Automotive SAR with Moving Targets",

abstract = "In this paper, we present image reconstruction of moving targets with a forward-scanning automotive SAR. We adapt a matrix decomposition approach in order to separate the moving targets from clutter/stationary objects. We present an augmented Lagrangian method based iterative solution. We propose image focusing through spatial segmentation and cross-correlation maximisation. Our proposed method also results in enhanced angular resolution. We present experimental results to verify our proposed methodology.",

keywords = "angular resolution, Automotive SAR, Imaging moving targets, low-rank matrix decomposition",

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

note = "Funding Information: This work was supported by Jaguar Land Rover and the UK-EPSRC grants EP/N012240/1 \& EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Radar Conference, RADAR 2019 ; Conference date: 23-09-2019 Through 27-09-2019",

year = "2019",

month = sep,

doi = "10.1109/RADAR41533.2019.171241",

language = "English",

series = "2019 International Radar Conference, RADAR 2019",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

booktitle = "2019 International Radar Conference, RADAR 2019",

}

Gishkori, S, Wright, D, Daniel, L , Gashinova, M & Mulgrew, B 2019, Forward Scanning Automotive SAR with Moving Targets. in 2019 International Radar Conference, RADAR 2019., 9078968, 2019 International Radar Conference, RADAR 2019, Institute of Electrical and Electronics Engineers (IEEE), 2019 International Radar Conference, RADAR 2019, Toulon, France, 23/09/19. https://doi.org/10.1109/RADAR41533.2019.171241

TY - GEN

T1 - Forward Scanning Automotive SAR with Moving Targets

AU - Gishkori, Shahzad

AU - Wright, David

AU - Daniel, Liam

AU - Gashinova, Marina

AU - Mulgrew, Bernard

N1 - Funding Information: This work was supported by Jaguar Land Rover and the UK-EPSRC grants EP/N012240/1 & EP/N012372/1 as part of the jointly funded Towards Autonomy: Smart and Connected Control (TASCC) Programme. Publisher Copyright: © 2019 IEEE.

PY - 2019/9

Y1 - 2019/9

N2 - In this paper, we present image reconstruction of moving targets with a forward-scanning automotive SAR. We adapt a matrix decomposition approach in order to separate the moving targets from clutter/stationary objects. We present an augmented Lagrangian method based iterative solution. We propose image focusing through spatial segmentation and cross-correlation maximisation. Our proposed method also results in enhanced angular resolution. We present experimental results to verify our proposed methodology.

AB - In this paper, we present image reconstruction of moving targets with a forward-scanning automotive SAR. We adapt a matrix decomposition approach in order to separate the moving targets from clutter/stationary objects. We present an augmented Lagrangian method based iterative solution. We propose image focusing through spatial segmentation and cross-correlation maximisation. Our proposed method also results in enhanced angular resolution. We present experimental results to verify our proposed methodology.

KW - angular resolution

KW - Automotive SAR

KW - Imaging moving targets

KW - low-rank matrix decomposition

UR - http://www.scopus.com/inward/record.url?scp=85084958058&partnerID=8YFLogxK

U2 - 10.1109/RADAR41533.2019.171241

DO - 10.1109/RADAR41533.2019.171241

M3 - Conference contribution

AN - SCOPUS:85084958058

T3 - 2019 International Radar Conference, RADAR 2019

BT - 2019 International Radar Conference, RADAR 2019

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2019 International Radar Conference, RADAR 2019

Y2 - 23 September 2019 through 27 September 2019

ER -

Forward Scanning Automotive SAR with Moving Targets

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this