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

被引：22

作者：

Cassidy, Scott L. L. ^{[1
]}

Pooni, Sukhjit ^{[1
]}

Cherniakov, Mikhail ^{[1
]}

Hoare, Edward G. G. ^{[1
]}

Gashinova, Marina S. S. ^{[1
]}

机构：

[1] Univ Birmingham, Dept Elect Elect & Syst Engn, Birmingham B15 2TT, England

来源：

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS | 2023年 / 59卷 / 02期

关键词：

MIMO communication; Radar; Sensors; Radar imaging; Doppler effect; Array signal processing; Satellite broadcasting; Automotive radar; Doppler beam sharpening (DBS); millimeter-wave radar; radar imaging;

D O I：

10.1109/TAES.2022.3203953

中图分类号：

V [航空、航天];

学科分类号：

08 ; 0825 ;

摘要：

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.

引用

页码：1495 / 1505

页数：11

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