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基于基扩展模型的UKF-RTSS高可靠鲁棒V2V信道估计

廖勇 陈颖

廖勇, 陈颖. 基于基扩展模型的UKF-RTSS高可靠鲁棒V2V信道估计[J]. 电子与信息学报, 2022, 44(5): 1792-1799. doi: 10.11999/JEIT210239
引用本文: 廖勇, 陈颖. 基于基扩展模型的UKF-RTSS高可靠鲁棒V2V信道估计[J]. 电子与信息学报, 2022, 44(5): 1792-1799. doi: 10.11999/JEIT210239
LIAO Yong, CHEN Ying. Ultra-Reliable and Robust Channel Estimation Using Basis Expansion Model-Based UKF-RTSS Scheme for V2V Systems[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1792-1799. doi: 10.11999/JEIT210239
Citation: LIAO Yong, CHEN Ying. Ultra-Reliable and Robust Channel Estimation Using Basis Expansion Model-Based UKF-RTSS Scheme for V2V Systems[J]. Journal of Electronics & Information Technology, 2022, 44(5): 1792-1799. doi: 10.11999/JEIT210239

基于基扩展模型的UKF-RTSS高可靠鲁棒V2V信道估计

doi: 10.11999/JEIT210239
基金项目: 国家自然科学基金(61501066),重庆市自然科学基金(cstc2019jcyj-msxmX0017)
详细信息
    作者简介:

    廖勇:男,1982年生,博士,副研究员,博士生导师,研究方向为下一代无线通信技术、高速移动通信系统及其关键技术、智能信号与信息处理

    陈颖:女,1996年生,硕士生,研究方向为车联网场景下的信道估计算法

    通讯作者:

    廖勇 liaoy@cqu.edu.cn

  • 中图分类号: TN911.7

Ultra-Reliable and Robust Channel Estimation Using Basis Expansion Model-Based UKF-RTSS Scheme for V2V Systems

Funds: The National Natural Science Foundation of China (61501066), The Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0017)
  • 摘要: 车联网应用场景对无线通信在带宽、时延、可靠性方面提出了更高的需求,特别是车辆对车辆(Vehicle to Vehicle, V2V)场景。针对V2V高速移动场景,时/频域选择性衰落(双选衰落)和非平稳特性给信道估计带来的技术挑战,该文提出了一种基于基扩展模型(Basis Expansion Model, BEM)的UKF-RTSS (Unscented Kalman Filter- Rauch-Tung-Striebel Smoother)信道估计方法。该方法采用BEM拟合快时变信道,将信道参数的估计转化为基函数系数的估计;通过无迹卡尔曼滤波(UKF),联合估计数据处信道冲激响应与时域自相关系数,用于追踪快时变的信道响应。为了进一步提升信道估计的精度,引入RTSS对后向信道状态信息进行信道估计和插值,与UKF构成了“滤波和平滑”结构的UKF-RTSS联合估计器。系统仿真分析表明,在不同速度的快时变条件下,所提方法相比其他经典方法具有更高的信道估计精度和鲁棒性,特别适用于车联网下的无线通信场景。
  • 图  1  基于BEM的UKF-RTSS信道估计方法结构

    图  2  观测矩阵获取流程图

    图  3  D=4时,不同BEM的模型误差

    图  4  Doppler=2732 Hz时,不同BEM的模型误差

    图  5  移动速度为30 km/h各算法的NMSE性能

    图  6  移动速度为500 km/h各算法的NMSE性能

    图  7  移动速度为30 km/h各算法的BER性能

    图  8  移动速度为500 km/h各算法的BER性能

    表  1  各种估计算法的复杂度对比

    估计算法时间复杂度
    LS$ O\left( N \right) $
    BEM-LS$ O\left( {{{\left( {DL} \right)}^2}N} \right) $
    BEM-iROMP[14]$ O\left( {{{\left( {DL} \right)}^2}N\lg S} \right) $
    BEM-LMMSE$ O\left( {{N^2}\left( {DL} \right)} \right) $
    BEM-LS-UKF$ O\left( {{N^2}\left( {DL} \right)} \right) $
    BEM-LMMSE-UKF$ O\left( {{N^2}\left( {DL} \right)} \right) $
    BEM-LS-UKF-RTSS$ O\left( {{N^2}\left( {DL} \right)} \right) $
    BEM-LMMSE-UKF-RTSS$ O\left( {{N^2}\left( {DL} \right)} \right) $
    下载: 导出CSV

    表  2  仿真系统参数

    参数数值
    载波频率5.9 GHz
    系统带宽10 MHz
    子载波数600
    子载波间隔
    FFT长度
    1024
    15 kHz
    基向量维数D4
    调制方式16QAM
    信道模型EVA
    多径抽头延迟(ns)[0 50 120 200 230 500 1600 2300 5000]
    相对功率时延(dB)[–1.0 –1.0 –1.0 0.0 0.0 0.0 –3.0 –5.0 –7.0]
    下载: 导出CSV
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出版历程
  • 收稿日期:  2021-03-23
  • 修回日期:  2021-05-17
  • 录用日期:  2021-11-05
  • 网络出版日期:  2021-11-13
  • 刊出日期:  2022-05-25

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