| 研究生: |
吳梓榆 Wu, Tzy-Yu |
|---|---|
| 論文名稱: |
單載波區塊傳輸於快速時變通道之偵測研究 Detection of Single-Carrier Block Transmission Systems in Fast Time-varying Channel |
| 指導教授: |
張名先
Chang, Ming-Xian |
| 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: | 2015 |
| 畢業學年度: | 103 |
| 語文別: | 英文 |
| 論文頁數: | 46 |
| 中文關鍵詞: | 單載波區塊傳輸系統 、子頻帶間干擾 、快速時變通道 、k-best演算法 |
| 外文關鍵詞: | SC-FDE, ICI, time-varying channel, k-best algorithm |
| 相關次數: | 點閱:140 下載:1 |
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OFDM在快速時變通道下會有子頻帶間干擾這個問題,這個問題也發生在使用頻域等化的單載波區塊傳輸系統,已經很多在OFDM下的消除子頻帶間干擾的演算法提出來。其中有些演算法也能夠同樣的適用在單載波區塊傳輸系統,然而隨著訊雜比上升殘留子頻帶間干擾會越顯明顯,在MMSE頻域等化中我們需要估計殘留子頻帶間干擾的變異數,而殘留子頻帶間干擾的變異數沒有估準確會導致相對應頻域等化會的殘留子頻帶間干擾放大。
在此論文裡,我們引進現有單載波區塊傳輸系統的子頻帶間干擾消除演算法,我們將之套入單載波區塊傳輸系統,為了要克服殘留子頻帶間干擾的影響,我們在偵測時使用k-best演算法來搜尋近最佳近似解,單載波區塊傳輸系統使用k-best演算法來偵測可以不需要估計殘留子頻帶間干擾的變異數並避免放大殘留子頻帶間干擾,論文最後模擬的結果證明我們成功克服殘留子頻帶間干擾造成的影響。
In fast time-varying channel, the orthogonal frequency division multiplexing (OFDM) system suffers from inter-subchannel interference (ICI). The problem of ICI also occurs in the single-carrier block transmission (SCBT) with frequency-domain equalization (FDE) system. Many algorithms of ICI reduction have been proposed for the OFDM system. Some of these algorithms are also suitable for the SC-FDE system. However, the effect of residual ICI becomes severe when the SNR increases. We need to estimate the variance of residual ICI in the FD equalization with the minimum mean-squares error (MMSE) principle. Moreover, an inaccurate estimate of the variance of residual ICI leads to ICI enhancement in the associated FD equalization.
In the thesis, we consider an ICI self-reduction algorithm for the SC-FDE system. In order to prevent the enhancement of residual ICI after the ICI self-reduction, we apply the K-Best algorithm in detection to search for the near maximum-likelihood (ML) solution. With the detection based on k-best algorithm, we need not to estimate the variance of residual ICI and this can avoid the residual ICI enhancement. The simulation results validate our method.
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