Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications

碩士 === 國立暨南國際大學 === 電機工程學系 === 92 === A novel frequency offset estimation technique for OFDM wireless communications is proposed in this paper. By taking advantage of subcarrier-level differentially coherent detection, the proposed estimator based on frequency error characteristics can effectively o...

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Main Authors: Wei-Chih Tzeng, 曾偉智
Other Authors: Jia-Chin Lin
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/75895615720437086182
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spelling ndltd-TW-092NCNU04420052016-06-17T04:16:59Z http://ndltd.ncl.edu.tw/handle/75895615720437086182 Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications 正交分頻多工系統中利用頻率誤差差分同調特徵性之頻率飄移估測 Wei-Chih Tzeng 曾偉智 碩士 國立暨南國際大學 電機工程學系 92 A novel frequency offset estimation technique for OFDM wireless communications is proposed in this paper. By taking advantage of subcarrier-level differentially coherent detection, the proposed estimator based on frequency error characteristics can effectively overcome frequency-selective fading effects. Frequency error characterization is achieved by means of pseudo-noise (PN) matched filters (MF) on the subcarrier basis; thus, it inherently needs no assistance in the form of accurate timing information. In addition, the proposed technique can combat the rapid time-selectivity caused by a high Doppler spread because it requires channel stationarity within only a short time duration due to the exploitation of a single training symbol. Furthermore, a linearized estimator is also proposed to reduce the computational complexity, resulting in some insignificant performance degradation. Extensive computer simulations have verified the superiority of the proposed technique. Jia-Chin Lin 林嘉慶 2004 學位論文 ; thesis 0 zh-TW
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language zh-TW
format Others
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description 碩士 === 國立暨南國際大學 === 電機工程學系 === 92 === A novel frequency offset estimation technique for OFDM wireless communications is proposed in this paper. By taking advantage of subcarrier-level differentially coherent detection, the proposed estimator based on frequency error characteristics can effectively overcome frequency-selective fading effects. Frequency error characterization is achieved by means of pseudo-noise (PN) matched filters (MF) on the subcarrier basis; thus, it inherently needs no assistance in the form of accurate timing information. In addition, the proposed technique can combat the rapid time-selectivity caused by a high Doppler spread because it requires channel stationarity within only a short time duration due to the exploitation of a single training symbol. Furthermore, a linearized estimator is also proposed to reduce the computational complexity, resulting in some insignificant performance degradation. Extensive computer simulations have verified the superiority of the proposed technique.
author2 Jia-Chin Lin
author_facet Jia-Chin Lin
Wei-Chih Tzeng
曾偉智
author Wei-Chih Tzeng
曾偉智
spellingShingle Wei-Chih Tzeng
曾偉智
Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
author_sort Wei-Chih Tzeng
title Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
title_short Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
title_full Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
title_fullStr Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
title_full_unstemmed Frequency Offset Estimation via Differentially Coherent Characterization of Frequency Errors for OFDM Communications
title_sort frequency offset estimation via differentially coherent characterization of frequency errors for ofdm communications
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/75895615720437086182
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