Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks
碩士 === 國立中央大學 === 通訊工程學系 === 101 === The cooperative networks recently become attractive because it can achieve spatial diversity. Multiple decode-and-forward (DF) relay nodes result in multiple carrier frequency offsets (CFOs) because each relay node owns its local oscillator. This paper presents a...
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ndltd-TW-101NCU056500182015-10-13T22:34:49Z http://ndltd.ncl.edu.tw/handle/93508949959248174553 Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks 解碼轉遞合作式通訊正交分頻多工系統中半盲 式多重頻率偏移估測 Ming-Yo Chen 陳明佑 碩士 國立中央大學 通訊工程學系 101 The cooperative networks recently become attractive because it can achieve spatial diversity. Multiple decode-and-forward (DF) relay nodes result in multiple carrier frequency offsets (CFOs) because each relay node owns its local oscillator. This paper presents a novel semi-blind multiple-CFO estimator for DF OFDM co-operative network. A procedure is designed for relay nodes in order to effectively derive the semi-blind multiple-CFO estimator. Each relay node occupies it own subchannels and its CFO falls in a nonoverlapped spectrum. The CFO mapping becomes simple to match their corresponding relay nodes. In addition, the proposed method can reduce hardware and computational complexity. Semi-blind random sequences are derived by the characteristic of signal matrix in MUSIC algorithm. Comprehensive simulations show that the random sequences can replace periodic training sequences. Furthermore, some information can be conveyed by the random sequences to increase the spectral efficiency. Jia-Chin Lin 林嘉慶 2013 學位論文 ; thesis 54 zh-TW |
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碩士 === 國立中央大學 === 通訊工程學系 === 101 === The cooperative networks recently become attractive because it can achieve spatial diversity. Multiple decode-and-forward (DF) relay nodes result in multiple carrier frequency offsets (CFOs) because each relay node owns its local oscillator. This paper presents a novel semi-blind multiple-CFO estimator for DF OFDM co-operative network. A procedure is designed for relay nodes in order to effectively derive the semi-blind multiple-CFO estimator. Each relay node occupies it own subchannels and its CFO falls in a nonoverlapped spectrum. The CFO mapping becomes simple to match their corresponding relay nodes. In addition, the proposed method can reduce hardware and computational complexity. Semi-blind random sequences are derived by the characteristic of signal matrix in MUSIC algorithm. Comprehensive simulations show that the random sequences can replace periodic training sequences. Furthermore, some information can be conveyed by the random sequences to increase the spectral efficiency.
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Jia-Chin Lin |
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Jia-Chin Lin Ming-Yo Chen 陳明佑 |
author |
Ming-Yo Chen 陳明佑 |
spellingShingle |
Ming-Yo Chen 陳明佑 Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
author_sort |
Ming-Yo Chen |
title |
Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
title_short |
Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
title_full |
Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
title_fullStr |
Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
title_full_unstemmed |
Semi-blind Multiple Frequency Offset Estimation for Decode-and-Forward OFDM Cooperative Networks |
title_sort |
semi-blind multiple frequency offset estimation for decode-and-forward ofdm cooperative networks |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/93508949959248174553 |
work_keys_str_mv |
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1718078304486948864 |