Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols

碩士 === 國立交通大學 === 電信工程系 === 91 === Abstract OFDM is a favorable modulation scheme for the next generation commercial broadband communication systems since it can effectively mitigate the wireless channel effect. However, OFDM has higher sensitivity to the carrier frequency and...

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Main Authors: Jiun-Yu Wu, 吳俊育
Other Authors: Wen-Rong Wu
Format: Others
Language:en_US
Published: 2003
Online Access:http://ndltd.ncl.edu.tw/handle/56019988047709327646
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spelling ndltd-TW-091NCTU04350112016-06-22T04:14:27Z http://ndltd.ncl.edu.tw/handle/56019988047709327646 Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols 應用於正交分頻多工系統之重複結構訓練符元之頻率偏移與符元時序最大相似估計 Jiun-Yu Wu 吳俊育 碩士 國立交通大學 電信工程系 91 Abstract OFDM is a favorable modulation scheme for the next generation commercial broadband communication systems since it can effectively mitigate the wireless channel effect. However, OFDM has higher sensitivity to the carrier frequency and symbol timing offsets. A maximum likelihood (ML) method has been proposed in literature to estimate these offsets using two repeated training symbols. In this thesis, we extend the method to obtain the ML frequency offset and symbol timing estimation for Q repeated training symbols where Q is greater than two. An iteration method is also proposed to extend the frequency offset estimation range. Simulations show that the performance of the proposed method can closely approach the Cramer-Rao lower bound. We also apply the proposed method to the 802.11a wireless LAN system and show that the performance of the proposed method can outperform the existing ML method. Wen-Rong Wu 吳文榕 2003 學位論文 ; thesis 79 en_US
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description 碩士 === 國立交通大學 === 電信工程系 === 91 === Abstract OFDM is a favorable modulation scheme for the next generation commercial broadband communication systems since it can effectively mitigate the wireless channel effect. However, OFDM has higher sensitivity to the carrier frequency and symbol timing offsets. A maximum likelihood (ML) method has been proposed in literature to estimate these offsets using two repeated training symbols. In this thesis, we extend the method to obtain the ML frequency offset and symbol timing estimation for Q repeated training symbols where Q is greater than two. An iteration method is also proposed to extend the frequency offset estimation range. Simulations show that the performance of the proposed method can closely approach the Cramer-Rao lower bound. We also apply the proposed method to the 802.11a wireless LAN system and show that the performance of the proposed method can outperform the existing ML method.
author2 Wen-Rong Wu
author_facet Wen-Rong Wu
Jiun-Yu Wu
吳俊育
author Jiun-Yu Wu
吳俊育
spellingShingle Jiun-Yu Wu
吳俊育
Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
author_sort Jiun-Yu Wu
title Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
title_short Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
title_full Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
title_fullStr Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
title_full_unstemmed Maximum Likelihood Carrier Frequency Offset and Symbol Timing Estimation for OFDM Systems with Repeated Training Symbols
title_sort maximum likelihood carrier frequency offset and symbol timing estimation for ofdm systems with repeated training symbols
publishDate 2003
url http://ndltd.ncl.edu.tw/handle/56019988047709327646
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