高速移动环境下OTSM B-LMMSE-PIC迭代检测方法

李国军; 郑翔; 王杰

doi:10.11959/j.issn.1000-436x.2025010

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高速移动环境下OTSM B-LMMSE-PIC迭代检测方法

学术论文 | 更新时间：2025-02-13

- 高速移动环境下OTSM B-LMMSE-PIC迭代检测方法
- B-LMMSE-PIC iterative detection method for OTSM in high-speed mobile environment
- 通信学报 2025年46卷第1期页码：13-22
- 作者机构：
  
  1.重庆邮电大学通信与信息工程学院，重庆 400065
  2.重庆邮电大学超视距可信信息传输研究所，重庆 400065
- 作者简介：
  
  [ "李国军（1978- ），男，四川资阳人，博士，重庆邮电大学教授，主要研究方向为复杂恶劣环境超视距无线通信与网络。" ]
  [ "郑翔（2000- ），男，四川内江人，重庆邮电大学硕士生，主要研究方向为信号检测。" ]
  [ "王杰（1994- ），男，重庆人，重庆邮电大学博士生，主要研究方向为超视距无线通信与网络。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(U22A2006);重庆市自然科学基金资助项目;The Natural Science Foundation of Chongqing(CSTB2023NSCQ-LZX0082)
- DOI：10.11959/j.issn.1000-436x.2025010
  中图分类号： TN926
- 收稿：2024-09-02，
  
  修回：2025-01-04，
  
  纸质出版：2025-01-25
- 稿件说明：
移动端阅览
李国军,郑翔,王杰.高速移动环境下OTSM B-LMMSE-PIC迭代检测方法[J].通信学报,2025,46(01):13-22.

LI Guojun,ZHENG Xiang,WANG Jie.B-LMMSE-PIC iterative detection method for OTSM in high-speed mobile environment[J].Journal on Communications,2025,46(01):13-22.
李国军,郑翔,王杰.高速移动环境下OTSM B-LMMSE-PIC迭代检测方法[J].通信学报,2025,46(01):13-22. DOI： 10.11959/j.issn.1000-436x.2025010.

LI Guojun,ZHENG Xiang,WANG Jie.B-LMMSE-PIC iterative detection method for OTSM in high-speed mobile environment[J].Journal on Communications,2025,46(01):13-22. DOI： 10.11959/j.issn.1000-436x.2025010.

摘要

为提升正交时序复用（OTSM）在高速移动环境下传输的可靠性，提出了一种基于并行干扰消除的分块线性最小均方误差（B-LMMSE-PIC）迭代检测方法。该方法在时域分块进行MMSE-PIC符号估计，并且使用诺伊曼（Neumann）级数逼近涉及的矩阵反演，将计算复杂度降为线性阶；随后在时延-序列域计算估计符号的均值与方差作为下一次迭代的先验信息。仿真结果表明，在移动速度为540 km/h的场景下使用16QAM调制且误码率为10

-4

时，所提方法与目前广泛使用的基于最大比合并（MRC）的迭代rake检测方法相比有2.48 dB的性能增益。

Abstract

To improve the reliability of orthogonal time sequency multiplexing (OTSM) transmission in high-speed mobile environments

a block linear minimum mean square error with parallel interference cancellation (B-LMMSE-PIC) iterative detection method was proposed. The MMSE-PIC symbol estimation was performed in the time domain by block

and the Neumann series approximation was used for matrix inversion

which reduced the computational complexity to linear order. Subsequently

the mean and variance of the estimated symbols in the delay-sequency domain were calculated to provide prior information for the next iteration. Simulation results demonstrated that

under conditions of 540 km/h mobile speed and 16QAM modulation with a BER of 10

-4

the proposed method achieves a performance ga

in of 2.48 dB compared to the widely used iterative rake detection algorithm based on maximum ratio combining (MRC).

关键词

Keywords

references

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