Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks

<p/> <p>Joint carrier frequency offset (CFO) and channel estimation is considered for two-way relay networks (TWRNs). Existing estimators provide only the convolved channel parameters and the mixed CFO values. In contrast, estimators using a superimposed training strategy are developed f...

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Main Authors: Gao Feifei, Zhang Xin, Wang Gongpu, Tellambura Chintha
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/403936
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spelling doaj-b14ad0bbed804788be80f60d920d48cf2020-11-25T01:58:30ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101403936Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay NetworksGao FeifeiZhang XinWang GongpuTellambura Chintha<p/> <p>Joint carrier frequency offset (CFO) and channel estimation is considered for two-way relay networks (TWRNs). Existing estimators provide only the convolved channel parameters and the mixed CFO values. In contrast, estimators using a superimposed training strategy are developed for the individual frequency and channel parameters. Depending on the number of pilots, three different estimators are developed. An iterative estimator with low complexity is also developed to further improve the estimation accuracy. The Cram&#233;r-Rao Bounds (CRBs) are derived. The simulations show that the iterative estimator converges rapidly, and the resultant estimation mean square error (MSE) approaches the CRB. For the special case of small CFO between the two source terminals, the MSE achieves the CRB at high SNRs, and the iterative algorithm is not necessary. However, for the general case, the gap between the MSE and the CRB indicates that there is room for further improvement of the estimation accuracy.</p>http://jwcn.eurasipjournals.com/content/2010/403936
collection DOAJ
language English
format Article
sources DOAJ
author Gao Feifei
Zhang Xin
Wang Gongpu
Tellambura Chintha
spellingShingle Gao Feifei
Zhang Xin
Wang Gongpu
Tellambura Chintha
Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
EURASIP Journal on Wireless Communications and Networking
author_facet Gao Feifei
Zhang Xin
Wang Gongpu
Tellambura Chintha
author_sort Gao Feifei
title Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
title_short Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
title_full Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
title_fullStr Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
title_full_unstemmed Superimposed Training-Based Joint CFO and Channel Estimation for CP-OFDM Modulated Two-Way Relay Networks
title_sort superimposed training-based joint cfo and channel estimation for cp-ofdm modulated two-way relay networks
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>Joint carrier frequency offset (CFO) and channel estimation is considered for two-way relay networks (TWRNs). Existing estimators provide only the convolved channel parameters and the mixed CFO values. In contrast, estimators using a superimposed training strategy are developed for the individual frequency and channel parameters. Depending on the number of pilots, three different estimators are developed. An iterative estimator with low complexity is also developed to further improve the estimation accuracy. The Cram&#233;r-Rao Bounds (CRBs) are derived. The simulations show that the iterative estimator converges rapidly, and the resultant estimation mean square error (MSE) approaches the CRB. For the special case of small CFO between the two source terminals, the MSE achieves the CRB at high SNRs, and the iterative algorithm is not necessary. However, for the general case, the gap between the MSE and the CRB indicates that there is room for further improvement of the estimation accuracy.</p>
url http://jwcn.eurasipjournals.com/content/2010/403936
work_keys_str_mv AT gaofeifei superimposedtrainingbasedjointcfoandchannelestimationforcpofdmmodulatedtwowayrelaynetworks
AT zhangxin superimposedtrainingbasedjointcfoandchannelestimationforcpofdmmodulatedtwowayrelaynetworks
AT wanggongpu superimposedtrainingbasedjointcfoandchannelestimationforcpofdmmodulatedtwowayrelaynetworks
AT tellamburachintha superimposedtrainingbasedjointcfoandchannelestimationforcpofdmmodulatedtwowayrelaynetworks
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