Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach

The conventional channel estimation schemes for filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems are mainly based on preamble methods. However, the utilization of preamble for channel estimation decreases the system’s spectrum efficiency. In this paper, we pro...

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Main Authors: Han Wang, Jianqing Liao, Lingwei Xu, Xianpeng Wang
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Information
Subjects:
Online Access:http://www.mdpi.com/2078-2489/9/3/58
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author Han Wang
Jianqing Liao
Lingwei Xu
Xianpeng Wang
author_facet Han Wang
Jianqing Liao
Lingwei Xu
Xianpeng Wang
author_sort Han Wang
collection DOAJ
description The conventional channel estimation schemes for filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems are mainly based on preamble methods. However, the utilization of preamble for channel estimation decreases the system’s spectrum efficiency. In this paper, we propose a modified subspace blind channel estimation method for FBMC/OQAM systems. The proposed method distinguishes itself from previously preamble based methods by utilizing spatial diversity technique to introduce data redundancy for blind channel estimation, which leads to high spectral utilization. Thus, the proposed method can provide significant root mean square error (RMSE) performance improvement compared to conventional preamble based methods at high SNRs. Simulation results verify the validity of the proposed method in FBMC/OQAM systems.
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spelling doaj.art-a51e9771d8824b90b5554ae12d33cdea2022-12-22T01:36:49ZengMDPI AGInformation2078-24892018-03-01935810.3390/info9030058info9030058Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace ApproachHan Wang0Jianqing Liao1Lingwei Xu2Xianpeng Wang3College of Physical Science and Engineering, Yichun University, Yichun 336000, ChinaCollege of Physical Science and Engineering, Yichun University, Yichun 336000, ChinaDepartment of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, ChinaState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou 570228, ChinaThe conventional channel estimation schemes for filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems are mainly based on preamble methods. However, the utilization of preamble for channel estimation decreases the system’s spectrum efficiency. In this paper, we propose a modified subspace blind channel estimation method for FBMC/OQAM systems. The proposed method distinguishes itself from previously preamble based methods by utilizing spatial diversity technique to introduce data redundancy for blind channel estimation, which leads to high spectral utilization. Thus, the proposed method can provide significant root mean square error (RMSE) performance improvement compared to conventional preamble based methods at high SNRs. Simulation results verify the validity of the proposed method in FBMC/OQAM systems.http://www.mdpi.com/2078-2489/9/3/58FBMC/OQAMblind channel estimationsubspace methodpreambleRMSE
spellingShingle Han Wang
Jianqing Liao
Lingwei Xu
Xianpeng Wang
Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
Information
FBMC/OQAM
blind channel estimation
subspace method
preamble
RMSE
title Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
title_full Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
title_fullStr Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
title_full_unstemmed Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
title_short Blind Channel Estimation for FBMC/OQAM Systems Based on Subspace Approach
title_sort blind channel estimation for fbmc oqam systems based on subspace approach
topic FBMC/OQAM
blind channel estimation
subspace method
preamble
RMSE
url http://www.mdpi.com/2078-2489/9/3/58
work_keys_str_mv AT hanwang blindchannelestimationforfbmcoqamsystemsbasedonsubspaceapproach
AT jianqingliao blindchannelestimationforfbmcoqamsystemsbasedonsubspaceapproach
AT lingweixu blindchannelestimationforfbmcoqamsystemsbasedonsubspaceapproach
AT xianpengwang blindchannelestimationforfbmcoqamsystemsbasedonsubspaceapproach