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超大规模MIMO-OTFS系统上行辅助的下行信道估计方法

蒲旭敏 邓凯元 陈前斌

物联网学报2023,Vol.7Issue(4):28-38,11.
物联网学报2023,Vol.7Issue(4):28-38,11.DOI:10.11959/j.issn.2096-3750.2023.00351

超大规模MIMO-OTFS系统上行辅助的下行信道估计方法

Uplink assisted downlink channel estimation method of extra-large scale MIMO-OTFS system

蒲旭敏 1邓凯元 2陈前斌2

作者信息

  • 1. 东南大学移动通信国家重点实验室,江苏 南京 210096||重庆邮电大学通信与信息工程学院,重庆 400065
  • 2. 重庆邮电大学通信与信息工程学院,重庆 400065
  • 折叠

摘要

Abstract

A low complexity downlink channel estimation method for high-speed mobile scenarios was proposed for the extra-large scale multiple-input multiple-output(MIMO)orthogonal time-frequency space(OTFS)system.Different from the existing studies,the proposed method considers the significant spatial non-stationary characteristics of ex-tra-large scale MIMO-OTFS system.Based on the visible path region,an enhanced sparse orthogonal matching pursuit(OMP)algorithm with low complexity was proposed,uplink-assisted downlink channel estimation was achieved using the mapping relationship between the uplink and downlink channels in the frequency-division duplex(FDD)mode.Sim-ulation results show that the proposed uplink-assisted downlink channel estimation method can accurately represent the non-stationary of the system,and achieve significant improvement in the channel estimation performance while reducing the computational complexity,and still perform well in high-mobility IoT scenarios.

关键词

物联网/正交时频空间调制/超大规模多输入多输出/频分双工/信道估计

Key words

IoT/orthogonal time frequency space modulation/extra-large scale MIMO/frequency division duplex/channel estimation

分类

信息技术与安全科学

引用本文复制引用

蒲旭敏,邓凯元,陈前斌..超大规模MIMO-OTFS系统上行辅助的下行信道估计方法[J].物联网学报,2023,7(4):28-38,11.

基金项目

国家自然科学基金资助项目(No.61701062) (No.61701062)

中国博士后科学基金资助项目(No.2019M651649) (No.2019M651649)

江苏省博士后科研基金资助项目(No.2018K041c) (No.2018K041c)

重庆市教育委员会科学技术研究项目(No.KJQN202100649,No.KJQN202000612)The National Natural Science Foundation of China(No.61701062),The China Postdoctoral Science Foundation(No.2019M651649),The Jiangsu Planned Projects for Postdoctoral Research Funds(No.2018K041c),The Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJQN202100649,No.KJQN202000612) (No.KJQN202100649,No.KJQN202000612)

物联网学报

OACSTPCD

2096-3750

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