Reference : Automotive Squint-forward-looking SAR: High Resolution and Early Warning
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
Computational Sciences
http://hdl.handle.net/10993/46781
Automotive Squint-forward-looking SAR: High Resolution and Early Warning
English
Hu, Ruizhi mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom]
Mysore Rama Rao, Bhavani Shankar mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Murtada, Ahmed Abdelnaser Elsayed mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom]
Alaeekerahroodi, Mohammad mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
11-Mar-2021
IEEE Journal of Selected Topics in Signal Processing
IEEE
Yes
International
[en] Automotive radar imaging ; modified backprojection (BP) ; synthetic aperture radar (SAR) ; squint-forward looking
[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.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SIGCOM
Fonds National de la Recherche - FnR
http://hdl.handle.net/10993/46781
10.1109/JSTSP.2021.3064175
https://ieeexplore.ieee.org/abstract/document/9376590
FnR ; FNR12734677 > Bjorn Ottersten > SPRINGER > Signal Processing For Next Generation Radar > 01/09/2019 > 31/08/2022 > 2018

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