High-Resolution Automotive Imaging Using MIMO Radar and Doppler Beam Sharpening

Scott L. Cassidy; Sukhjit Pooni; Mikhail Cherniakov; Edward G. Hoare; Marina S. Gashinova

doi:10.1109/TAES.2022.3203953

High-Resolution Automotive Imaging Using MIMO Radar and Doppler Beam Sharpening

Scott L. Cassidy^*, Sukhjit Pooni, Mikhail Cherniakov, Edward G. Hoare, Marina S. Gashinova

^*Corresponding author for this work

Electronic, Electrical and Systems Engineering

Research output: Contribution to journal › Article › peer-review

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
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	https://doi.org/10.1109/TAES.2022.3203953
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

Access to Document

10.1109/TAES.2022.3203953

CORTEX
Gashinova, M., Cherniakov, M. & Windridge, D.
TECHNOLOGY STRATEGY BOARD
1/03/19 → 31/03/22
Project: Other Government Departments

Cite this

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title = "High-Resolution Automotive Imaging Using MIMO Radar and Doppler Beam Sharpening",

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.",

keywords = "Automotive radar, Doppler beam sharpening (DBS), millimeter-wave radar, radar imaging",

author = "Cassidy, {Scott L.} and Sukhjit Pooni and Mikhail Cherniakov and Hoare, {Edward G.} and Gashinova, {Marina S.}",

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: {\textcopyright} 1965-2011 IEEE.",

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AU - Gashinova, Marina S.

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High-Resolution Automotive Imaging Using MIMO Radar and Doppler Beam Sharpening

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Projects

CORTEX

Cite this