Performance Evaluation Of Wide Aperture Radar For Automotive Applications

被引:0
作者
Bialer, Oded [1 ]
Kolpinizki, Sammy [1 ]
Jonas, Amnon [1 ]
机构
[1] Gen Motors Adv Tech Ctr Israel, Tel Aviv, Israel
来源
2020 IEEE RADAR CONFERENCE (RADARCONF20) | 2020年
关键词
MAXIMUM-LIKELIHOOD; PARAMETER-ESTIMATION; MIMO RADAR; LOCALIZATION; SIGNALS;
D O I
10.1109/radarconf2043947.2020.9266609
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The angular resolution of the state-of-the-art automotive radars is about 1 degrees, due to the relatively short aperture of about 10cm. In this paper we present novel results of a 1m aperture automotive prototype radar that achieves 0.1 degrees resolution. Since the 1m aperture is about the maximal horizontal aperture of a vehicle, then 0.1 degrees angular resolution is the maximal practical resolution with 78GHz technology. Hence the demonstrated performance can be considered as the upper performance limit of the 78GHz frequency. We analyze the wide aperture radar performance advantage with respect to state-of-the-art short aperture radar and high resolution LIDAR sensor, in various challenging automotive scenarios. The wide aperture radar attains a relatively large number of detection points from the object surface, which are much more accurate than the conventional short aperture radar, and therefore enables to accurately estimate the object position, size and boundaries, which is essential for autonomous driving. It attains comparable performance to LIDAR at short to medium range, and outperforms LIDAR at long range. The pioneer performance evaluation presented in this paper shows the high potential performance of wide aperture automotive radars and motivates their application in next generation autonomous driving systems.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] Block Compressive Sensing in Synthetic Aperture Radar (SAR)
    Kazemi, Peyman
    Modarres-Hashemi, Mahmood
    Naghsh, Mohammad Mahdi
    [J]. 2016 24TH IRANIAN CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2016, : 1324 - 1329
  • [32] Coherent Automotive Radar Networks: The Next Generation of Radar-Based Imaging and Mapping
    Gottinger, Michael
    Hoffmann, Marcel
    Christmann, Mark
    Schuetz, Martin
    Kirsch, Fabian
    Gulden, Peter
    Vossiek, Martin
    [J]. IEEE JOURNAL OF MICROWAVES, 2021, 1 (01): : 149 - 163
  • [33] Over-The-Air Automotive Radar System Testing
    Hamberger, Gerhard F.
    Bogner, Maximilian
    Neidhardt, Steffen
    Beer, Matthias
    [J]. 2023 INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY, IWAT, 2023,
  • [34] Person Reidentification Based on Automotive Radar Point Clouds
    Cheng, Yuwei
    Liu, Yimin
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [35] OFDM Waveform for Distributed Radar Sensing in Automotive Scenarios
    Schieler, Steffen
    Schneider, Christian
    Andrich, Carsten
    Doebereiner, Michael
    Luo, Jian
    Schwind, Andreas
    Wendland, Philip
    Thomae, Reiner S.
    Del Galdo, Giovanni
    [J]. 2019 16TH EUROPEAN RADAR CONFERENCE (EURAD), 2019, : 225 - 228
  • [36] Challenges in Automotive MIMO Radar Calibration in Anechoic Chamber
    Raphaeli, Dani
    Bilik, Igal
    [J]. IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2023, 59 (05) : 6205 - 6214
  • [37] Automotive Interference Suppression in MIMO and Phased Array Radar
    Pirkani, Anum
    Norouzian, Fatemeh
    Hoare, Edward
    Chemiakov, Mikhail
    Gashinova, Marina
    [J]. 2021 18TH EUROPEAN RADAR CONFERENCE (EURAD), 2021, : 413 - 416
  • [38] Interference Mitigation for Automotive FMCW Radar With Tensor Decomposition
    Wang, Yunxuan
    Huang, Yan
    Liu, Jiang
    Zhang, Ruizhe
    Zhang, Hui
    Hong, Wei
    [J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (08) : 9204 - 9223
  • [39] Detection of Ghost Targets for Automotive Radar in the Presence of Multipath
    Zheng, Le
    Long, Jiamin
    Lops, Marco
    Liu, Fan
    Hu, Xueyao
    Zhao, Chuanhao
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2024, 72 : 2204 - 2220
  • [40] MIMO-monopulse target localisation for automotive radar
    Feng, Ruoyu
    Uysal, Faruk
    Aubry, Pascal
    Yarovoy, Alexandar
    [J]. IET RADAR SONAR AND NAVIGATION, 2018, 12 (10) : 1131 - 1136