Multi-Point Vehicular Positioning via Millimeter-Wave Transmissions

被引:1
|
作者
Zhang, Zezhong [1 ]
Ko, Seung-Woo [2 ]
Wang, Rui [3 ]
Huang, Kaibin [1 ]
机构
[1] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Peoples R China
[2] Korea Maritime & Ocean, Div Elect & Elect Informat Engn, Busan, South Korea
[3] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen, Peoples R China
关键词
NETWORK;
D O I
10.1109/itc-cscc.2019.8793362
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Multi-point detection of the full-scale environment is an important issue in autonomous driving. The state-of-the-art positioning technologies (such as RADAR and LIDAR) are incapable of fast multi-point detection with high resolution. Some relevant fatal accidents recently further expose such limitation of vehicular positioning and sensing. To address this issue, this paper presents a novel multi-point vehicular positioning technology via millimeter-wave (mmWave) transmission. This powerful technology enables the sensing vehicle (SV) to capture both the shape and location information of the target vehicle (TV). A phase-difference-of-arrival (PDoA) based hyperbolic positioning algorithm is designed to achieve the prerequisite synchronization. The stepped-frequency-continuous-wave (SFCW) is utilized as signals in this approach for multi-point detection of the TVs. In the end, the realistic simulation of vehicular positioning in rural scenarios demonstrates the effectiveness of the proposed multi-point vehicular positioning techniques.
引用
收藏
页码:506 / 509
页数:4
相关论文
共 50 条
  • [1] Millimeter-Wave Multi-Point Vehicular Positioning for Autonomous Driving
    Zhang, Zezhong
    Ko, Seung-Woo
    Wang, Rui
    Huang, Kaibin
    2019 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2019,
  • [2] Cooperative Multi-Point Vehicular Positioning Using Millimeter-Wave Surface Reflection
    Zhang, Zezhong
    Ko, Seung-Woo
    Wang, Rui
    Huang, Kaibin
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2021, 20 (04) : 2221 - 2236
  • [3] Portfolio Theory in Millimeter-Wave Coordinated Multi-Point Transmission
    Cheng, Lin
    Huberman, Bernardo A.
    Xu, Mu
    2021 IEEE RADIO AND WIRELESS SYMPOSIUM (RWS), 2021, : 133 - 136
  • [4] Outage-Minimization Coordinated Multi-Point for Millimeter-Wave OFDM With Random Blockages
    Uchimura, Sota
    Iimori, Hiroki
    de Abreu, Giuseppe Thadeu Freitas
    Ishibashi, Koji
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (07) : 8783 - 8796
  • [5] Theory and method of multi-point synchronous deformation and vibration measurement based on millimeter-wave sensing
    Xiong Y.
    Li S.
    Wu G.
    Peng Z.
    Ma L.
    Meng G.
    Zhongguo Kexue Jishu Kexue/Scientia Sinica Technologica, 2021, 51 (09): : 998 - 1010
  • [6] Multi-beam Transmissions for Blockage Resilience and Reliability in Millimeter-Wave Systems
    Aykin, Irmak
    Akgun, Berk
    Krunz, Marwan
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2019, 37 (12) : 2772 - 2785
  • [7] Concurrent multi-beam transmissions for reliable communication in millimeter-wave networks
    Liu, Yanping
    Tang, Chunju
    COMPUTER COMMUNICATIONS, 2022, 195 : 281 - 291
  • [8] Reliable Positioning and mmWave Communication via Multi-Point Connectivity
    Kumar, Dileep
    Saloranta, Jani
    Kaleva, Jarkko
    Destino, Giuseppe
    Tolli, Antti
    SENSORS, 2018, 18 (11)
  • [9] Channel estimation for coordinated multi-point transmissions
    Wang, J. (wangj@tsinghua.edu.cn), 1600, Tsinghua University (53):
  • [10] Multi-UAV Aided Millimeter-Wave Networks: Positioning, Clustering, and Beamforming
    Zhu, Lipeng
    Zhang, Jun
    Xiao, Zhenyu
    Xia, Xiang-Gen
    Zhang, Rui
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2022, 21 (07) : 4637 - 4653