[1]李双志,王震,郭新.RIS 辅助 SIMO 系统子空间正交信道估计与定位[J].郑州大学学报(工学版),2027,48(XX):1-8.[doi:10. 13705 / j. issn. 1671-6833. 2027. 01. 006]
　LI Shuangzhi,WANG Zhen,GUO Xin.Subspace-Orthogonal Channel Estimation and Localization for RIS-assisted SIMO Systems[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-8.[doi:10. 13705 / j. issn. 1671-6833. 2027. 01. 006]
点击复制

RIS 辅助 SIMO 系统子空间正交信道估计与定位()
分享到：

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-8
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Subspace-Orthogonal Channel Estimation and Localization for RIS-assisted SIMO Systems
作者:
李双志, 王震, 郭新
郑州大学 电气与信息工程学院,河南 郑州 450001
Author(s):
LI Shuangzhi, WANG Zhen, GUO Xin
School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
关键词:
毫米波通信;  信道估计;  子空间正交;  三维定位;  可重构智能超表面
Keywords:
millimeter-wave communication;  channel estimation;  subspace orthogonality;  three-dimensional localization;  reconfigurable intelligent surface(RIS)
分类号:
TN92TN96
DOI:
10. 13705 / j. issn. 1671-6833. 2027. 01. 006
文献标志码:
A
摘要:
在可重构智能超表面(RIS)辅助单输入多输出( SIMO) 系统中,由于接收端直接路径与 RIS 级联反射路径相互叠加,用户信道参数估计与定位面临着计算复杂度大、导频开销高等突出问题。 针对这一挑战,提出一种基于子空间正交分离的两阶段低导频信道估计与定位方法。 第一阶段,通过构造直接信道子空间的正交投影矩阵,将接收信号投影至其正交补空间,实现直接路径与 RIS 级联反射路径的有效解耦,在此基础上,采用秩一逼近等方法精确提取出空间频率、时延等关键信道参数;第二阶段,利用信道参数与三维坐标间的几何约束关系,实现目标用户的三维定位。 理论分析表明:所提算法通过子空间解耦和信道参数化表征,仅需要少量导频即可同步完成信道估计与定位任务。 仿真结果表明:所提算法在 0 dB 时能够实现分米级别的定位精度,并且在不同条件下参数估计性能与定位误差均能紧密跟随理论下界的演变规律,验证了算法的统计有效性和稳健性。
Abstract:
: In reconfigurable intelligent surface (RIS) -assisted single-input multiple-output ( SIMO) systems, because the direct path and the RIS cascaded reflected path overlap at the receiver, channel parameter estimation and user localization face high computational complexity and high pilot overhead. To address this challenge, a two-stage low-pilot-overhead channel estimation and localization method was proposed based on subspace-orthogonal separation. In the first stage, an orthogonal projection matrix of the direct channel subspace was constructed. Then the received signal was projected onto its orthogonal complement space. This effectively separated the direct path from the RIS cascaded reflected path. After that, key channel parameters such as spatial frequencies and delays were extracted by methods such as rank-one approximation. In the second stage, the geometric constraint relationship between the channel parameters and the three-dimensional coordinates was used to estimate the user′s 3D position. Theoretical analysis showed that by subspace decoupling and channel parametric representation, the proposed algorithm could complete both channel estimation and localization with only a small number of pilots. Simulation results showed that the proposed algorithm achieved decimeter-level localization accuracy at 0 dB. Under different conditions, both the parameter estimation performance and the localization error could closely follow the theoretical lower bounds, verifying the statistical efficiency and robustness of the algorithm.
更新日期/Last Update: 2026-10-27