Cubature Kalman Filter Based Millimeter Wave Beam Tracking for OTFS Systems

被引:2
作者
Qi, Xiaohan [1 ]
Xie, Jianxiao [1 ]
机构
[1] Zhejiang Normal Univ, Coll Phys & Elect Informat Engn, Jinhua 321000, Peoples R China
关键词
OTFS; millimeter wave; beam tracking; Cubature Kalman Filter; CHANNEL ESTIMATION;
D O I
10.23919/JCC.fa.2021-0581.202307
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
In this paper, a Millimeter wave (mmWave) beam tracking problem is studied in or-thogonal time frequency space (OTFS) systems. Con-sidering the nonlinearity of beamforming and the con-straints of existing Kalman-filtering based beam track-ing schemes, we propose a novel Cubature Kalman Filter (CKF) framework tracking the channel state information (CSI) to manage the challenge of high-speed channel variation in single-user moving scene for OTFS systems. Aiming for low complexity for mobile settings, this paper trains only one beam pair to track a path to maintain the reliable communication link in the analog beamforming architecture. Simula-tion results show that our proposed method has better tracking performance to improve the accuracy of the estimated beam angle compared with prior work.
引用
收藏
页码:233 / 240
页数:8
相关论文
共 21 条
  • [1] Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
    Alkhateeb, Ahmed
    El Ayach, Omar
    Leus, Geert
    Heath, Robert W., Jr.
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (05) : 831 - 846
  • [2] Cubature Kalman Filters
    Arasaratnam, Ienkaran
    Haykin, Simon
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2009, 54 (06) : 1254 - 1269
  • [3] OTFS-NOMA: An Efficient Approach for Exploiting Heterogenous User Mobility Profiles
    Ding, Zhiguo
    Schober, Robert
    Fan, Pingzhi
    Poor, H. Vincent
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (11) : 7950 - 7965
  • [4] Ge Y, 2019, INT SYM WIRELESS COM, P260, DOI [10.1109/ISWCS.2019.8877152, 10.1109/iswcs.2019.8877152]
  • [5] Feasibility of Mobility for Millimeter-Wave Systems Based on Channel Measurements
    Hur, Sooyoung
    Yu, Hyunkyu
    Park, Jeongho
    Roh, Wonil
    Bas, Celalettin U.
    Wang, Rui
    Molisch, Andreas F.
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2018, 56 (07) : 56 - 63
  • [6] Hussain S., Sensors, V22, P3329
  • [7] A Novel ISAC Transmission Framework Based on Spatially-Spread Orthogonal Time Frequency Space Modulation
    Li, Shuangyang
    Yuan, Weijie
    Liu, Chang
    Wei, Zhiqiang
    Yuan, Jinhong
    Bai, Baoming
    Ng, Derrick Wing Kwan
    [J]. IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2022, 40 (06) : 1854 - 1872
  • [8] EKF-Based Beam Tracking for mmWave MIMO Systems
    Liu, Fuliang
    Zhao, Peiyao
    Wang, Zhaocheng
    [J]. IEEE COMMUNICATIONS LETTERS, 2019, 23 (12) : 2390 - 2393
  • [9] Machine Learning-Based 5G RAN Slicing for Broadcasting Services
    Mu, Junsheng
    Jing, Xiaojun
    Zhang, Yangying
    Gong, Yi
    Zhang, Ronghui
    Zhang, Fangpei
    [J]. IEEE TRANSACTIONS ON BROADCASTING, 2022, 68 (02) : 295 - 304
  • [10] Integrated Sensing and Communication-Enabled Predictive Beamforming With Deep Learning in Vehicular Networks
    Mu, Junsheng
    Gong, Yi
    Zhang, Fangpei
    Cui, Yuanhao
    Zheng, Feng
    Jing, Xiaojun
    [J]. IEEE COMMUNICATIONS LETTERS, 2021, 25 (10) : 3301 - 3304