正交时频空调制的信道估计与信号检测技术研究现状

王永川; 周平; 黄局

doi:10.11959/j.issn.1000-436x.2024151

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正交时频空调制的信道估计与信号检测技术研究现状

综述 | 更新时间：2024-10-10

- 正交时频空调制的信道估计与信号检测技术研究现状
- Research status of channel estimation and signal detection techniques for orthogonal time frequency space modulation
- 通信学报 2024年45卷第9期页码：229-243
- 作者机构：
  
  陆军工程大学石家庄校区，河北石家庄 050003
- 作者简介：
  
  [ "王永川（1977- ），男，河北元氏人，博士，陆军工程大学副教授、硕士生导师，主要研究方向为通信信号处理、抗干扰通信、无人机通信等。" ]
  [ "周平（1988- ），男，安徽无为人，博士，陆军工程大学讲师，主要研究方向为无线通信、无人机通信等。" ]
  [ "黄局（1996- ），男，山东兰陵人，陆军工程大学助教，主要研究方向为无人机通信等。" ]
- 基金信息：
  
  陆军工程大学装备综合研究基金资助项目(KYSZJKZBXM24041)
- DOI：10.11959/j.issn.1000-436x.2024151
  中图分类号： TN92
- 收稿：2024-03-27，
  
  修回：2024-07-01，
  
  纸质出版：2024-09-25
- 稿件说明：
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王永川,周平,黄局.正交时频空调制的信道估计与信号检测技术研究现状[J].通信学报,2024,45(09):229-243.

WANG Yongchuan,ZHOU Ping,HUANG Ju.Research status of channel estimation and signal detection techniques for orthogonal time frequency space modulation[J].Journal on Communications,2024,45(09):229-243.
王永川,周平,黄局.正交时频空调制的信道估计与信号检测技术研究现状[J].通信学报,2024,45(09):229-243. DOI： 10.11959/j.issn.1000-436x.2024151.

WANG Yongchuan,ZHOU Ping,HUANG Ju.Research status of channel estimation and signal detection techniques for orthogonal time frequency space modulation[J].Journal on Communications,2024,45(09):229-243. DOI： 10.11959/j.issn.1000-436x.2024151.

摘要

正交时频空（OTFS）调制是一种适用于高多普勒衰落信道的二维时延-多普勒（DD）域复用的技术，它通过一组二维变换将时间-频率（TF）域双选择性信道转换为在DD域近乎稳定的信道，使OTFS系统有能力获得时间和频率全分集。OTFS系统要想获得这种时间和频率全分集增益，需要为接收机设计高性能的信道估计和信号检测算法。首先介绍了OTFS调制的基本原理和系统模型，然后对信道估计和信号检测算法进行了分类综述和比较，最后讨论了信道估计和信号检测的未来挑战和解决途径。

Abstract

Orthogonal time frequency space (OTFS) modulation is a multiplexing technique designed in the two-dimensional (2D) delay-Doppler domain suited for high Doppler fading channels. OTFS converts a doubly-selective

channel into an almost non-fading channel in the delay-Doppler domain through a series of 2D transformations. OTFS has the potential of capturing time-frequency full diversity. In order to obtain the time-frequency full diversity gain

a receiver with advanced channel estimation and signal detection algorithm is needed. The basic principle and system model of OTFS was firstly introduced

then the existing channel estimation and signal detection algorithms were reviewed

finally the future challenges and solutions for channel estimation and signal detection were discussed.

关键词

Keywords

references

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