| 研究生: |
張繼方 Chang, Chi-Fang |
|---|---|
| 論文名稱: |
利用載波頻率偏移頻帶選擇法補償正交分頻多工系統中的非理想效應 Compensation for Non-Ideal Effects in OFDM System by Band-Selective CFO Method |
| 指導教授: |
郭致宏
Kuo, Chih-Hung |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering |
| 論文出版年: | 2013 |
| 畢業學年度: | 101 |
| 語文別: | 中文 |
| 論文頁數: | 64 |
| 中文關鍵詞: | 正交分頻多工系統 、載波頻率位移 、IQ不平衡 |
| 外文關鍵詞: | Orthogonal frequency division multiplexing (OFDM), Carrier Frequency Offset, IQ Imbalance |
| 相關次數: | 點閱:129 下載:1 |
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在本論文中,我們考量了兩個正交分頻多工系統中的非理想效應:載波頻率偏移(Carrier Frequency Offset,CFO)與IQ不平衡(IQ imbalance)。此兩種非理想效應都會嚴重的降低系統效能。現有的聯合估測演算法通常需要做迭代運算才能在估測中收斂,或是其計算複雜度相當高。因此,有研究者根據長序文內兩段相同的序列,提出一個以最小平方法(Least Squares method)為基礎的演算法來聯合估測載波頻率偏移與IQ不平衡。不過其演算法在載波頻率偏移小於15 kHz時,對於CFO與IQ imbalance估測具有相當程度的誤差,進而造成位元錯誤率(bit error rate,BER)的提高,因而在本篇論文中,藉著合併長短序文的使用,利用最小平方法與相關器,分別的估測IQ imbalance與CFO,來處理CFO小於15 kHz的情形。模擬證明,當CFO小於15 kHz時,我們的演算法將有效降低位元錯誤率。另外,由於LS-based演算法利用長序文做CFO與IQ不平衡的聯合估測,因此,當CFO超過上下限±156.25 kHz時,對於CFO與IQ不平衡的估測將產生錯誤。在本篇論文中,我們利用短序文實現的聯合估測演算法來處理這個問題,擴大CFO與IQ不平衡的估測範圍。
In this thesis, we consider two non-ideal effects in orthogonal frequency division multiplexing (OFDM) system: carrier frequency offset (CFO) and IQ imbalance. Both CFO and IQ imbalance degrade the system performance seriously. Current joint estimation algorithms need iterations to converge in the estimation, or their computational complexity are considerably high. As a result, researchers proposed a LS-based method to estimate both CFO and IQ imbalance based on the two identical sequences in the preamble. But LS-based method has considerable deviations in estimating CFO and IQ imbalance while actual CFO is below 15 kHz, therefore it will increase the bit error rate. In this thesis, we deal with this problem by using correlator and least squares method to estimate CFO and IQ imbalance separately. Besides, LS-based method uses long preamble to joint estimate CFO and IQ imbalance. Therefore, while CFO is beyond ±156.25 kHz, the joint estimation will be inaccurate. In this thesis we also deal with this problem by short preambles, and the range of joint estimation can be extended.
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