簡易檢索 / 詳目顯示

研究生: 葉宗霖
Yeh, Tsung-Lin
論文名稱: 在多路徑時變通道與單載波區塊傳送系統中使用外部資訊遞迴之低複雜度MMSE等化器
Low-Complexity Iterative MMSE Equalization Using Extrinsic Information for Single Carrier Block Transmission in Doubly Selective Channels
指導教授: 賴癸江
Lai, Kuei-Chiang
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: 2014
畢業學年度: 102
語文別: 中文
論文頁數: 35
中文關鍵詞: 單載波區塊傳送系統多路徑時變通道線性最小均方誤差等化器低複雜度最小均方誤差等化器利用外部資訊遞迴循環首字訓練序列
外文關鍵詞: single-carrier block transmission (SCBT) system, doubly selective channels, low complexity MMSE (LC-MMSE), iterative equalization, training sequence-aided
相關次數: 點閱:237下載:2
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 對單載波區塊傳送系統而言,多路徑時變通道不止會產生符元間干擾,同時還會產生虛擬的載波間干擾。直接使用過去非時變通道下的頻域等化器錯誤率非常之高,因此時變通道下的等化多採用時域下的線性最小均方誤差等化器,然其錯誤率低但複雜度相當高。針對這項缺點文獻中提出了利用傳送區塊大小與多路徑通道長度差異的低複雜度最小均方誤差等化器,其中加入序列化及利用外部資訊遞迴的概念使複雜度降低的同時正確率進一步提高。
    本論文中將該等化器從循環首字單載波區塊傳送系統轉移至加入訓練序列的單載波區塊傳送系統,利用訓練序列使傳送接收的正確率更加提高。並提出在不增加複雜度的情況下,可以使該等化器效能額外提升的一些方法。本論文的最後將該等化演算法從二位元相位偏移調變延伸至四位元相位偏移調變。

    In doubly selective channels, single-carrier block transmission (SCBT) suffers from not only inter-symbol interference (ISI) but also virtual inter-carrier interference (ICI). The detection performance deteriorates considerably when a linear time-invariant (LTI) equalizer is employed. Therefore, equalization algorithms that cope with time-varying channels mostly used the time-domain minimum mean square error linear equalizer (MMSE-LE). However, the complexity of the MMSE-LE equalizer is fairly high. Aiming at the downside of the MMSE-LE, the low-complexity MMSE (LC-MMSE) equalizer was proposed in the literature that took advantage of the sparse nature of the channel matrix. In addition, with sequential processing and iteration with extrinsic information, the LC-MMSE equalizer not only lowers the complexity but also improves the detection performance over MMSE-LE.
    In this thesis, we apply the LC-MMSE equalizer, originally developed for cyclic prefix SCBT (CP-SCBT) systems, to training sequence-aided SCBT (TA-SCBT) systems. We investigate methods that exploit the training sequence to enhance the detection performance without adding additional complexity. Finally, we extend the iterative method from binary phase-shift keying (BPSK) to quadrature phase-shift keying (QPSK).

    摘要 II Extended Abstract III 誌謝 VIII 目錄 IX 表目錄 X 圖目錄 XI 導論 1 1.1 前言 1 1.2 研究動機與目的 1 1.3 論文章節提要 2 系統模型 3 1.1 SCBT架構 3 1.2 多路徑時變通道 5 1.2.1 多路徑通道 5 1.2.2 時變通道 6 利用外部資訊的LC-MMSE等化器 8 1.1 低複雜度MMSE (LC-MMSE)等化器 [6] 8 1.2 BPSK下MMSE等化器利用外部資訊的遞迴方法 11 LC-MMSE的優化及延伸 15 1.1 用訓練序列取代循環首字 15 1.1.1 複雜度變化分析 18 1.2 起始平均SINR 18 1.3 過程中干擾消除順序探討 23 1.4 將利用外部資訊的遞迴方法延伸至QPSK 27 結論與未來研究方向 33 參考文獻 34

    [1] Z. Wang, X. Ma, G.B. Giannakis, “OFDM or Single-Carrier Block Transmissions?” IEEE Transactions on Communications, vol. 52, no. 3, pp. 380-394, Mar. 2004.
    [2] D. Falconer, S. L. Ariyavistakul, A. Benyamin-Seeyar, and B. Eidson, “Frequency domain equalization for single-carrier broadband wireless systems,” IEEE Communications Magazine, vol. 40, no.4, pp. 58-66, Apr. 2002.
    [3] Y. S. Choi, P. J. Voltz, and F.A. Cassara, “On channel estimation and detection for multicarrier signals in fast and selective Rayleigh fading channels,” IEEE Trans. Commun., vol. 49, pp. 1375-1387, Aug. 2001.
    [4] X. Cai and G. B. Giannakis, “Bounding performance and suppressing inter-carrier interference in wireless mobile OFDM,” IEEE Trans. Commun., vol. 51, no. 12, pp. 2047-2056, Dec. 2003.
    [5] P. Schniter and H. Liu, “Iterative Equalization for Single-Carrier Cyclic-Prefix in Doubly-Dispersive Channels” in Proc. Asilomar Conf. Signals, Systems, Computers, vol. 1, Nov. 2003, pp. 502-506.
    [6] S. Ahmed, M. Sellathurai, S. Lambotharan, and J. A. Chambers, “Low-Complexity Iterative Method of Equalization for Single Carrier With Cyclic Prefix in Doubly Selective Channels,” IEEE Signal Processing Letters, vol. 13, no. 1, Jan. 2006.
    [7] L. Deneire, B. Gyselinckx, and M. Engels, “Training Sequence versus Cyclic Prefix - A New Look on Single Carrier Communication,” IEEE Communications Letters, vol. 5, pp. 292-294, Jul. 2001.
    [8] M. Tuchler, A. C. Singer, and R. Koetter, “Minimum Mean Squared Error Equalization Using A Priori Information” IEEE Transactions on Signal Processing, vol. 50, no. 3, Mar. 2002.
    [9] B. O’Hara and A. Petrick, IEEE 802.11 Handbook: A Designer’s Companion, Standards Information Network IEEE Press, Dec. 1999.
    [10] C. Douillard et al., “Iterative correction of intersymbol interference: Turbo equalization,” Eur. Trans. Telecomm., vol. 6, pp. 507-511, Sept./Oct. 1995.
    [11] G. B. Giannakis and C. Tepedelenlioglu, “Basis Expansion Models and Diversity Techniques for Blind Identification and Equalization of Time-Varying Channels,” Proc. IEEE, vol. 86, pp. 1969– 1986, Oct. 1998.
    [12] S. Ohno, “Maximum likelihood inter-carrier interference suppression for wireless OFDM with null subcarriers,” Proc. IEEE ICASSP 2005, vol. 3, pp.849-852, Mar. 2005.

    下載圖示 校內:立即公開
    校外:2019-08-20公開
    QR CODE