A Millimeter Wave Beam Tracking in Vehicular Scenario via Particle Filter

被引:0
|
作者
Kang, Jeongwan [1 ]
Orikumhi, Gbafe [1 ]
Park, Young-Mi [2 ]
Kim, Sunwoo [1 ]
机构
[1] Hanyang Univ, Dept Elect & Comp Engn, Seoul, South Korea
[2] Agcy Def Dev, Daejeon, South Korea
来源
PROCEEDINGS OF 2018 INTERNATIONAL CONFERENCE ON NETWORK INFRASTRUCTURE AND DIGITAL CONTENT (IEEE IC-NIDC) | 2018年
关键词
Beam tracking; beam alignment; millimeter wave; analog beamforming; mobility model; particle filter;
D O I
暂无
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
Mobility tracking has been highlighted as one of the key issues in millimeter wave communication. Although several beam tracking algorithms have been proposed to improve mobility tracking, these algorithms suffer high complexity. In this paper, we propose a low complexity beam tracking protocol via particle filter. In the proposed algorithm, a single beam pair is trained to track a path by exploiting the location information of the mobile station. We investigate several effects on the performance of the proposed tracking algorithm, such as the signal-to-noise ratio (SNR) and the array size of the base station antennas. It is observed that as the signal-to-noise ratio and the array size increases, the beam tracking performance improves.
引用
收藏
页码:234 / 238
页数:5
相关论文
共 50 条
  • [31] Beam Tracking Particle Filter for Hybrid Beamforming and Precoding Systems
    Huan-Zhang Huang
    Yan-Cheng Wang
    Yuan-Hao Huang
    Journal of Signal Processing Systems, 2020, 92 : 499 - 515
  • [32] Robust Beam Tracking and Data Communication in Millimeter Wave Mobile Networks
    Shahsavarit, Shahram
    Khojastepour, Mohammad A.
    Erkipt, Elza
    17TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT 2019), 2019, : 147 - 154
  • [33] Training Beam Sequence Optimization for Millimeter Wave MIMO Tracking Systems
    Zhang, Deyou
    Chen, He
    Shirvanimoghaddam, Mahyar
    Li, Yonghui
    Vucetic, Branka
    2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
  • [34] Training Beam Sequence Design for Multiuser Millimeter Wave Tracking Systems
    Zhang, Deyou
    Li, Ang
    Pradhan, Chandan
    Li, Jun
    Vucetic, Branka
    Li, Yonghui
    IEEE TRANSACTIONS ON COMMUNICATIONS, 2021, 69 (10) : 6939 - 6955
  • [35] A Framework for Active Learning of Beam Alignment in Vehicular Millimeter Wave Communications by Onboard Sensors
    Erich Z?chmann
    ZTE Communications, 2019, 17 (02) : 2 - 9
  • [36] Innovation-Based Robust Beam Tracking for Millimeter Wave Systems
    Zhang, Yuhao
    Fan, Jiancun
    2024 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC, 2024,
  • [37] Deep Learning-based Channel Estimation and Tracking for Millimeter-wave Vehicular Communications
    Moon, Sangmi
    Kim, Hyunsung
    Hwang, Intae
    JOURNAL OF COMMUNICATIONS AND NETWORKS, 2020, 22 (03) : 177 - 184
  • [38] Robust tracking algorithm for infrared target via correlation filter and particle filter
    Chen, Jian
    Lin, Yanming
    Huang, Detian
    Zhang, Jian
    INFRARED PHYSICS & TECHNOLOGY, 2020, 111
  • [39] On the potential of multicast in millimeter wave vehicular communications
    Mendler, Gereon
    Heijenk, Geert
    2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
  • [40] An Opportunistic Routing Protocol Based on Position Information for Beam Alignment in Millimeter Wave Vehicular Communications
    Li, Yongzhen
    Zhang, Xinming
    Yan, Long
    Sung, Dan Keun
    IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC 2022), 2022, : 267 - 272