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一种基于RIS的宽带毫米波SISO定位方法

孙俊倡 谷荣妍 马帅 柴进晋 李世银

孙俊倡, 谷荣妍, 马帅, 柴进晋, 李世银. 一种基于RIS的宽带毫米波SISO定位方法[J]. 电子与信息学报, 2024, 46(4): 1240-1246. doi: 10.11999/JEIT230401
引用本文: 孙俊倡, 谷荣妍, 马帅, 柴进晋, 李世银. 一种基于RIS的宽带毫米波SISO定位方法[J]. 电子与信息学报, 2024, 46(4): 1240-1246. doi: 10.11999/JEIT230401
SUN Junchang, GU Rongyan, MA Shuai, CHAI Jinjin, LI Shiyin. An RIS assisted Wideband Millimeter Wave SISO-Based Positioning Method[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1240-1246. doi: 10.11999/JEIT230401
Citation: SUN Junchang, GU Rongyan, MA Shuai, CHAI Jinjin, LI Shiyin. An RIS assisted Wideband Millimeter Wave SISO-Based Positioning Method[J]. Journal of Electronics & Information Technology, 2024, 46(4): 1240-1246. doi: 10.11999/JEIT230401

一种基于RIS的宽带毫米波SISO定位方法

doi: 10.11999/JEIT230401
基金项目: 国家自然科学基金(61771474, 62371451)
详细信息
    作者简介:

    孙俊倡:男,博士生,研究方向为毫米波定位、可重构智能超表面等

    谷荣妍:女,硕士生,研究方向为语义通信、信息论等

    马帅:男,副研究员,博士生导师,研究方向为语义通信、通信定位一体化、信息论等

    柴进晋:男,讲师,研究方向为无线定位、OFDM系统、编码技术等

    李世银:男,教授,博士生导师,研究方向为煤矿信息化、移动目标定位等

    通讯作者:

    李世银 lishiyin@cumt.edu.cn

  • 中图分类号: TN929.5

An RIS assisted Wideband Millimeter Wave SISO-Based Positioning Method

Funds: The National Natural Science Foundation of China (61771474, 62371451)
  • 摘要: 针对毫米波定位过程中空间宽带效应产生的影响,该文基于可重构智能超表面(RIS)和单输入单输出(SISO)毫米波系统提出一种新颖的3维(3D)定位估计方法。首先,通过设计RIS相位,利用快速傅里叶逆变换(IFFT)粗略地估计直射路径的视距(LoS)时延、RIS路径的虚拟视距(VLoS)时延以及RIS与用户之间的出发角(AoD)等信道参数。然后,利用拟牛顿法修正上述参数进而估计用户的位置坐标。通过仿真模拟对比了所提宽带估计方法和传统的窄带估计方法的定位性能,结果表明,通过考虑空间宽带效应,带宽为240 MHz时定位精度大约可提高10%,随着带宽增大超过800 MHz时定位性能可提高超过20%。
  • 图  1  RIS辅助的毫米波SISO定位系统模型

    图  2  定位估算误差随接收SNR的变化趋势

    图  3  定位估算误差随带宽的变化趋势

    算法1 基于RIS的毫米波SISO系统定位算法
     输入:接收信号${\mathbf{Y}}$
     输出:用户估计位置${\mathbf{\hat u}}$
     1:定义矩阵$ {{\mathbf{Z}}_{\text{b}}} $并利用IFFT估计${\hat k_{\text{b}}}$
     2:粗估计LoS时延${\tilde \tau _{\text{b}}}$
     3:利用拟牛顿法准确估计LoS时延${\hat \tau _{\text{b}}}$
     4:估计LoS复信道增益$ {\hat \rho _{\text{b}}} $
     5:定义矩阵$ {{\mathbf{Z}}_{\text{r}}} $并利用IFFT估计${\hat k_{\text{r}}}$
     6:粗估计VLoS时延$ {\tilde \tau _{\text{r}}} $
     7:利用拟牛顿法准确估计VLoS时延${\hat \tau _{\text{r}}}$
     8:粗估计RIS和用户之间的AoD$ {\tilde {\boldsymbol{\phi}} } $
     9:利用拟牛顿法准确估计AoD$ {\hat {\boldsymbol{\phi}} } $
     10:估计RIS和用户之间的距离$ \hat d $
     11:估计用户位置${\mathbf{\hat u}}$
    下载: 导出CSV

    表  1  仿真参数设置

    参数
    频率${f_{\text{c}}}$30 GHz
    RIS尺寸大小$L$$64 \times 64$
    子载波间距${\varDelta _f}$240 kHz
    符号数目$T$120
    RIS相位束数目$K$12
    噪声PSD${N_0}$$ - 174{\text{ dBm/Hz}}$
    噪声因子8 dB
    IFFT维度${N_{\text{F}}}$4096
    基站位置$ {\boldsymbol{p}} $$\left( {2,2, - 7} \right)$
    RIS位置${\boldsymbol{r}}$$\left( {0,0,0} \right)$
    用户位置$ {\boldsymbol{u}} $$\left( { - {\text{5/}}\sqrt {\text{2}} ,{\text{5/}}\sqrt {\text{2}} , - 10} \right)$
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-05-11
  • 修回日期:  2023-07-12
  • 网络出版日期:  2023-07-20
  • 刊出日期:  2024-04-24

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