大规模MIMO系统上行链路时间-空间结构信道估计算法

Xinhua Lu, Carles Navarro Manchón, Zhongyong Wang*, Chuanzong Zhang

*Kontaktforfatter

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

1 Citationer (Scopus)

Abstrakt

To deal with the estimation problem of non-stationary channel in massive Multiple-Input Multiple-Output (MIMO) up-link, the 2D channels' sparse structure information in temporal-spatial domain is used, to design an iterative channel estimation algorithm based on Dirichlet Process (DP) and Variational Bayesian Inference (VBI), which can improve the accuracy under a lower pilot overhead and computation complexity. On account of that the stationary channel models is not suitable for massive MIMO systems anymore, a non-stationary channel prior model utilizing Dirichlet Process is constructed, which can map the physical spatial correlation channels to a probabilistic channel with the same sparse temporal vector. By applying VBI technology, a channel estimation iteration algorithm with low pilot overhead and complexity is designed. Experiment results show the proposed channel method has a better performance on the estimation accuracy than the state-of-art method, meanwhile it works robustly against the dynamic system key parameters.

Bidragets oversatte titelChannel Estimation Algorithm Using Temporal-spatial Structure for Up-link of Massive MIMO Systems
OriginalsprogKinesisk (Traditional)
TidsskriftDianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Vol/bind42
Udgave nummer2
Sider (fra-til)519-525
Antal sider7
ISSN1009-5896
DOI
StatusUdgivet - 1 feb. 2020

Bibliografisk note

Funding Information:
收稿日期:2018-07-06;改*ผᔝ伂?2019-02-02;网络出版:2019-05-21 *通信作者: 王忠勇 zywangzzu@gmail.com 基金项目:*ⴑᨧ昰đ阎⩈?(61571402, 61501404, 61640003) Foundation Items: The National Natural Science Foundation of China (61571402, 61501404, 61640003)

Publisher Copyright:
© 2020, Science Press. All right reserved.

Emneord

  • Dirichlet Process (DP)
  • Massive Multi-Input Multi-Output (MIMO)
  • Non-stationary channel
  • Temporal-spatial
  • Variational Bayesian Inference (VBI)

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