基于图信号处理的OFDM系统导频设计和信道估计方法

何彬; 李国兵; 陈源; 张国梅

doi:10.11959/j.issn.2096-3750.2022.00288

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基于图信号处理的OFDM系统导频设计和信道估计方法

理论与技术 | 更新时间：2024-06-05

- 基于图信号处理的OFDM系统导频设计和信道估计方法
- Graph signal processing based pilot pattern design and channel estimation for OFDM system
- 物联网学报 2022年6卷第3期页码：91-102
- 作者机构：
- 作者简介：
  
  [ "何彬（1996- ），女，西安交通大学硕士生，主要研究方向为图信号处理及其在物联网中的应用" ]
  [ "李国兵（1979- ），男，博士，西安交通大学副教授，主要研究方向为物联网技术、无线通信技术和图信号处理技术等" ]
  [ "陈源（1992- ），男，西安交通大学硕士生，主要研究方向为物联网中的大规模图信号采样与重建" ]
  [ "张国梅（1978- ），女，博士，西安交通大学副教授，主要研究方向为物联网和移动通信系统关键技术、导航卫星系统定位与抗干扰技术等" ]
- 基金信息：
  
  陕西省重点研发计划;The Key Research and Development Program of Shaanxi Province(2018ZDCXL-GY-04-07);地理信息工程国家重点实验室基金资助项目;The Foundation of the State Key Laboratory of Geo-Information Engineering(SKLGIE2020-Z-2-1)
- DOI：10.11959/j.issn.2096-3750.2022.00288
  中图分类号： TN929.5
- 纸质出版日期：2022-09-30，
  
  网络出版日期：2022-09，
- 稿件说明：
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何彬, 李国兵, 陈源, 等. 基于图信号处理的OFDM系统导频设计和信道估计方法[J]. 物联网学报, 2022,6(3):91-102.

BIN HE, GUOBING LI, YUAN CHEN, et al. Graph signal processing based pilot pattern design and channel estimation for OFDM system. [J]. Chinese journal on internet of things, 2022, 6(3): 91-102.
何彬, 李国兵, 陈源, 等. 基于图信号处理的OFDM系统导频设计和信道估计方法[J]. 物联网学报, 2022,6(3):91-102. DOI： 10.11959/j.issn.2096-3750.2022.00288.

BIN HE, GUOBING LI, YUAN CHEN, et al. Graph signal processing based pilot pattern design and channel estimation for OFDM system. [J]. Chinese journal on internet of things, 2022, 6(3): 91-102. DOI： 10.11959/j.issn.2096-3750.2022.00288.

摘要

正交频分复用（OFDM

orthogonal frequency division multiplexing）是物联网的物理层关键技术之一，导频设计和信道估计是OFDM系统的关键问题。针对物联网通信场景复杂多样导致固定导频方案性能较差的问题，提出了一种基于图信号处理（GSP

graph signal processing）的导频设计和信道估计方法。首先，将时频资源块建模为图信号，将信道估计问题转换为图信号的采样重建问题。进而考虑时频双选衰落的影响，设计加权图邻接矩阵，构造基于时频位置的图拓扑结构。在此基础上，基于图信号采样理论优化导频位置，提出一种基于加权图拓扑构造的导频图案设计方法。同时，基于图信号重建方法进行信道信息重建，提出基于图平滑性约束的信道估计方案。仿真结果表明，所提方法相较于传统方案在双选信道的高速场景下可取得更高的信道估计精度，在低速场景下则可有效节约导频资源。

Abstract

Orthogonal frequency division multiplexing (OFDM) is one of the key technologies in the physical layer of the internet of things (IoT).Pilot design and channel estimation are key issues in OFDM systems.In view of the problem of performance loss by fixed pilot pattern due to the complexity and variety of IoT communication scenarios

a pilot design and channel estimation scheme based on graph signal processing (GSP) was proposed.Firstly

the time-frequency resource block was modeled as a graph signal

and the channel estimation problem was reformulated into a sampling and reconstruction problem of the graph signal.Then

considering the influence of time-frequency fading

a weighted graph adjacency matrix was designed to construct a graph topology structure based on the time-frequency position.On this basis

the pilot position is selected based on the graph signal sampling theory

a greedy pilot pattern design algorithm based on weighted graph topology was proposed.At the same time

signal reconstruction was performed based on the graph signal reconstruction method

and a channel estimation method based on the graph smoothness constraint was proposed.Compared with the conventional scheme

simulation results show that the proposed method achieves higher channel estimation accuracy in high-speed scenarios of double selective channels

and effectively reduces pilot overhead in low-speed scenarios.

关键词

正交频分复用图信号处理信道估计导频图案设计图采样

Keywords

orthogonal frequency division multiplexinggraph signal processingchannel estimationpilot pattern designgraph sampling

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