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智能反射表面辅助太赫兹信道估计的低复杂度算法

张祖凡 杨作为 王国仲

张祖凡, 杨作为, 王国仲. 智能反射表面辅助太赫兹信道估计的低复杂度算法[J]. 电子与信息学报, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
引用本文: 张祖凡, 杨作为, 王国仲. 智能反射表面辅助太赫兹信道估计的低复杂度算法[J]. 电子与信息学报, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
ZHANG Zufan, YANG Zuowei, WANG Guozhong. A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476
Citation: ZHANG Zufan, YANG Zuowei, WANG Guozhong. A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation[J]. Journal of Electronics & Information Technology, 2023, 45(10): 3640-3647. doi: 10.11999/JEIT221476

智能反射表面辅助太赫兹信道估计的低复杂度算法

doi: 10.11999/JEIT221476
基金项目: 重庆市教育委员会科学技术研究计划重大项目(KJZD-M201900601)
详细信息
    作者简介:

    张祖凡:男,教授,研究方向为无线通信、移动社交网络、机器学习等

    杨作为:男,硕士生,研究方向为无线通信、智能反射表面等

    王国仲:男,博士生,研究方向为无线通信、智能反射表面等

    通讯作者:

    杨作为 1109307319@qq.com

  • 中图分类号: TN92

A Low Complexity Algorithm for Intelligent Reflective Surface-assisted Tera Hertz Channel Estimation

Funds: The Major Project of Science and Technology Research Program of Chongqing Education Commission of China (KJZD-M201900601)
  • 摘要: 信道估计是智能反射表面(IRS)辅助太赫兹(THz)通信中的一大挑战。为了减少由收发端天线和IRS反射元件数增加引起的信道估计导频开销过大的问题,该文提出一种基于正则平行因子(CP)分解的信道估计算法。首先在分析信道特点的基础上对IRS阵元进行分组设计,然后将IRS辅助的无线通信信道表示为统一数学表达式,接着利用多天线THz信道固有的低秩结构将信号接收矩阵构建成一个3维张量,并且利用基于正则平行因子分解算法对张量进行分解,最后利用相关性对信道参数进行估计。通过蒙特卡罗仿真表明,该算法在信道传输条件相同的情况下相对于基准算法有4.28 dB和7.12 dB左右的性能提升,并且具有更低的计算复杂度。
  • 图  1  系统模型

    图  2  不同路径数和信噪比下的信道估计的NMSE

    图  3  信道参数估计的MSE

    图  4  不同反射元件数下信噪比和导频开销的NMSE比较

    图  5  不同信噪比下反射元件和导频开销的NMSE比较

    图  6  3种不同算法的NMSE对比

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出版历程
  • 收稿日期:  2022-11-25
  • 修回日期:  2023-04-20
  • 网络出版日期:  2023-04-27
  • 刊出日期:  2023-10-31

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