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Abstract
A highly detailed sensing of a vehicle's surrounding environment is a key requirement for the advancement of autonomous driving technology. While conventional automotive radar sensors remain robust under challenging weather conditions, poor cross-range resolution and high sidelobe levels present significant challenges. In this article, we propose an approach that combines multiple-input multiple-output (MIMO) beamforming with Doppler beam sharpening. We demonstrate a significant improvement in terms of cross-range resolution and, importantly, nearly 20-dB sidelobe suppression compared to conventional MIMO processing. This approach is investigated in detail and validated through theoretical analysis, simulation, and experiment using data recorded on a moving vehicle. We demonstrate performance that is comparable to a high-resolution mechanically scanned radar using a commercially available MIMO sensor.
Original language | English |
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Pages (from-to) | 1495-1505 |
Number of pages | 11 |
Journal | IEEE Transactions on Aerospace and Electronic Systems |
Volume | 59 |
Issue number | 2 |
Early online date | 12 Sept 2022 |
DOIs | |
Publication status | Published - Apr 2023 |
Bibliographical note
Funding:This work was supported by Innovate U.K. through Project “Cognitive Real Time Sensing System for Autonomous Vehicles (CORTEX)” under Grant 104268.
Publisher Copyright:
© 1965-2011 IEEE.
Keywords
- Automotive radar
- Doppler beam sharpening (DBS)
- millimeter-wave radar
- radar imaging
ASJC Scopus subject areas
- Aerospace Engineering
- Electrical and Electronic Engineering
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Dive into the research topics of 'High-Resolution Automotive Imaging Using MIMO Radar and Doppler Beam Sharpening'. Together they form a unique fingerprint.Projects
- 1 Finished
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CORTEX
Gashinova, M. (Principal Investigator), Cherniakov, M. (Co-Investigator) & Windridge, D. (Co-Investigator)
1/03/19 → 31/03/22
Project: Other Government Departments