Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation
Time-varying channel estimation is a well-known challenge for the wireless communications in the high mobility environments. In this paper, we propose a basis expansion model (BEM) based channel estimation algorithm utilizing orthogonal spatial domain subspace projection. The channel estimation is t...
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doaj-df8b3492f63443cca12cdcb4608ac1d02021-03-30T01:38:24ZengIEEEIEEE Access2169-35362020-01-018792037920910.1109/ACCESS.2020.29903169078067Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel EstimationRong Zeng0https://orcid.org/0000-0002-0832-7564Qiang Huang1https://orcid.org/0000-0003-4594-2758Hao Wang2https://orcid.org/0000-0002-0013-7328School of Communications Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Communications Engineering, Hangzhou Dianzi University, Hangzhou, ChinaSchool of Communications Engineering, Hangzhou Dianzi University, Hangzhou, ChinaTime-varying channel estimation is a well-known challenge for the wireless communications in the high mobility environments. In this paper, we propose a basis expansion model (BEM) based channel estimation algorithm utilizing orthogonal spatial domain subspace projection. The channel estimation is taken on each subspace and the estimation results of all subspaces are combined to obtain the final time-varying channel parameters. In our proposed scheme, the wave number spectrum shifting is utilized to suppress the time-varying level on each subspace and the wave number spectrum recovery is adopted in the combination process. Simulation results are provided to verify our proposed scheme.https://ieeexplore.ieee.org/document/9078067/Time-varying channel estimationhigh mobility environmentsorthogonal spatial domain subspace projection |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rong Zeng Qiang Huang Hao Wang |
spellingShingle |
Rong Zeng Qiang Huang Hao Wang Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation IEEE Access Time-varying channel estimation high mobility environments orthogonal spatial domain subspace projection |
author_facet |
Rong Zeng Qiang Huang Hao Wang |
author_sort |
Rong Zeng |
title |
Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation |
title_short |
Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation |
title_full |
Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation |
title_fullStr |
Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation |
title_full_unstemmed |
Orthogonal Spatial Domain Subspace Projection Based Time-Varying Channel Estimation |
title_sort |
orthogonal spatial domain subspace projection based time-varying channel estimation |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Time-varying channel estimation is a well-known challenge for the wireless communications in the high mobility environments. In this paper, we propose a basis expansion model (BEM) based channel estimation algorithm utilizing orthogonal spatial domain subspace projection. The channel estimation is taken on each subspace and the estimation results of all subspaces are combined to obtain the final time-varying channel parameters. In our proposed scheme, the wave number spectrum shifting is utilized to suppress the time-varying level on each subspace and the wave number spectrum recovery is adopted in the combination process. Simulation results are provided to verify our proposed scheme. |
topic |
Time-varying channel estimation high mobility environments orthogonal spatial domain subspace projection |
url |
https://ieeexplore.ieee.org/document/9078067/ |
work_keys_str_mv |
AT rongzeng orthogonalspatialdomainsubspaceprojectionbasedtimevaryingchannelestimation AT qianghuang orthogonalspatialdomainsubspaceprojectionbasedtimevaryingchannelestimation AT haowang orthogonalspatialdomainsubspaceprojectionbasedtimevaryingchannelestimation |
_version_ |
1724186725361647616 |