Article (Scientific journals)
Automotive Squint-forward-looking SAR: High Resolution and Early Warning
Hu, Ruizhi; Mysore Rama Rao, Bhavani Shankar; Murtada, Ahmed Abdelnaser Elsayed et al.
2021In IEEE Journal of Selected Topics in Signal Processing
Peer reviewed
 

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Keywords :
Automotive radar imaging; modified backprojection (BP); synthetic aperture radar (SAR); squint-forward looking
Abstract :
[en] Forward-looking automotive radars can sense long-distant targets to enable early warning, but the lateral resolution is limited. Synthetic aperture radar (SAR) techniques can achieve very high azimuth resolution but cannot resolve targets in the forward direction. As a trade-off, squint-forward-looking SAR (SFL-SAR) can perform 2D imaging on a distant area squint to the moving direction, providing both high resolution and early warning. In this paper, we analyzed and derived the constraints of automotive SFL-SAR to satisfy both the required resolution and braking distance. Simulations and imaging results verified the analysis.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Disciplines :
Electrical & electronics engineering
Author, co-author :
Hu, Ruizhi ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Mysore Rama Rao, Bhavani Shankar  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Murtada, Ahmed Abdelnaser Elsayed  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Alaeekerahroodi, Mohammad  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
Automotive Squint-forward-looking SAR: High Resolution and Early Warning
Publication date :
11 March 2021
Journal title :
IEEE Journal of Selected Topics in Signal Processing
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Computational Sciences
FnR Project :
FNR12734677 - Signal Processing For Next Generation Radar, 2018 (01/09/2019-31/08/2022) - Bjorn Ottersten
Funders :
FNR - Fonds National de la Recherche [LU]
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