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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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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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.
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Wen-Rong Wu |
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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 |
work_keys_str_mv |
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