博碩士論文 965201003 詳細資訊




以作者查詢圖書館館藏 以作者查詢臺灣博碩士 以作者查詢全國書目 勘誤回報 、線上人數:28 、訪客IP:3.85.63.190
姓名 謝柏賢(Po-Hsien Hsieh)  查詢紙本館藏   畢業系所 電機工程學系
論文名稱 應用於3GPP-LTE下行多天線接收系統高速行駛下之通道追蹤與等化
(Channel Tracking and Equalization in 3GPP-LTE Downlink MIMO Receiver in Highly Time-Selective Fading Channels)
相關論文
★ 具輸出級誤差消除機制之三位階三角積分D類放大器設計★ 應用於無線感測網路之多模式低複雜度收發機設計
★ 用於數位D類放大器的高效能三角積分調變器設計★ 交換電容式三角積分D類放大器電路設計
★ 適用於平行處理及排程技術的無衝突定址法演算法之快速傅立葉轉換處理器設計★ 適用於IEEE 802.11n之4×4多輸入多輸出偵測器設計
★ 應用於無線通訊系統之同質性可組態記憶體式快速傅立葉處理器★ 3GPP LTE正交分頻多工存取下行傳輸之接收端細胞搜尋與同步的設計與實現
★ 適用於正交分頻多工系統多輸入多輸出訊號偵測之高吞吐量QR分解設計★ 應用於室內極高速傳輸無線傳輸系統之 設計與評估
★ 適用於3GPP LTE-A之渦輪解碼器硬體設計與實作★ 下世代數位家庭之千兆級無線通訊系統
★ 協作式通訊於超寬頻通訊系統之設計★ 適用於3GPP-LTE系統高行車速率基頻接收機之設計
★ 多使用者多輸入輸出前編碼演算法及關鍵組件設計★ 無線感測網路之定位追蹤演算法設計與實作
檔案 [Endnote RIS 格式]    [Bibtex 格式]    [相關文章]   [文章引用]   [完整記錄]   [館藏目錄]   [檢視]  [下載]
  1. 本電子論文使用權限為同意立即開放。
  2. 已達開放權限電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。
  3. 請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。

摘要(中) 在本篇論文中,我們根據3GPP-LTE的標準設計多天線接收系統的通道追蹤與等化器。主要包含通道響應追蹤,載波間干擾消除,與多輸入多輸出等化器,最後是硬體電路設計與確定電路字長。我們提出排序選擇機制來使多輸入多輸出正交分頻多工系統(MIMO-OFDM)的決策導向(decision-directed) 遞迴最小平方(Recursive Least Square, RLS)可適性通道追蹤演算法能在高移動環境下運作。模擬的結果證明我們提出的方法較二維(Two-Dimensional Recursive Least Square, 2D-RLS)演算法與傳統線性內插器佳。高速時變通道產生嚴重載波間干擾效應(Inter-Carrier Interference, ICI),嚴重破壞RLS可適性演算法參考訊號的正確度,因此ICI補償是必須的。我們使用一階線性方法估計ICI係數,與平行載波間干擾消去法抵消ICI效應。在硬體設計的部分,我們使用排序漸續干擾消除法(Ordered Successive Interference Cancellation, OSIC)多輸入多輸出偵測器,其在硬體設計考量下改用QR分解取代,降低硬體複雜度。以及在ICI消去法上,做架構上改變,使運算單元下降。我們對傳統RLS可適性演算法做了兩方面的化簡,取實部運算與RLS的一次遞迴過程重新排程,故可因此大幅降低乘法器,使其可能實現在多天線接收機的硬體上。
摘要(英) In this thesis, we discuss the channel tracking and equalization mechanisms of 3GPP-LTE downlink MIMO receivers in high mobility environments. The main blocks in the receiver include RLS channel tracking, ICI cancellation, MIMO detection. An ordered selection scheme is proposed to resist the possible error propagation due to wrong decisions in the decision-directed RLS adaptive channel tracking algorithm in 2×2 spatial-multiplexing MIMO-OFDM systems under high mobility. Simulation results show that the channel tracking accuracy of the proposed approach outperforms the 2D-RLS algorithm and the conventional linear interpolation algorithm. And due to the severe ICI effect spoils the accuracy of reference signal for our RLS adaptive interpolator. We use the first order linear approximation to approximate the ICI coefficient and utilize the parallel ICI cancellation to compensate the ICI effect. For hardware complexity consideration, we replace the architecture of the OSIC by QR decomposition. For ICI cancellation, we also reduce its complexity by hardware sharing. Moreover, with calculating real parts of the covariance matrix and the rescheduling for RLS iteration procedures, we save almost 66% complex multipliers. Therefore, the hardware implementation of a MIMO receiver supporting high-mobility is feasible.
關鍵字(中) ★ RLS adaptive algorithm
★ Doppler effect
★ 3GPP-LTE
★ MIMO-OFDM
★ Channel estimation
關鍵字(英) ★ 都卜勒
★ 可適性演算法
★ 長期演進技術
★ 多輸入多輸出正交分頻多工系統
★ 通道估測
論文目次 目錄………………………………………...…………………………………………iii
圖示列表………………………………………...……………………………………vi
表格列表…………………………………………………...…..……………………ix
第一章 緒論…………………………………………………………………………1
1.1 簡介………………………………………………………………………………1
1.2 動機………………………………………………………………………………3
1.3 論文組織…………………………………………………………………………3
第二章 OFDM 系統與 3GPP LTE標準介紹…………………………………..…4
2.1 正交分頻多工(OFDM)系統介紹……………………………….................……4
2.2 3GPP LTE 系統規格………………………………………………………...…10
2.2.1 領航訊號型式(Pilot Pattern) ………………..…………………………..14
第三章 基頻通道模型………………………………………..……………………17
3.1 等效基頻通道模型…………………………………………………………..…17
3.2 多路徑衰減通道(multi-path fading channel) …………………………….……18
3.2.1 3GPP多輸入多輸出(MIMO)空間通道模型(Spatial Channel Model, SCM) ……………………………………………………………...…19
3.2.2 通道模型參數….…………………………………….………………22
3.2.3 時變通道…………………………………………….………………24
3.3 加成性白色高斯雜訊(Additive White Gaussian Noise, AWGN) …….…25
3.4 接收端不匹配效應…………………………………………………….…26
3.4.1 載波頻率偏移(Carrier Frequency Offset, CFO) ……………………26
3.4.2 取樣時脈偏移(Sampling Clock Offset, SCO) ………………………27
第四章 多輸入多輸出正交分頻系統之時變通道估測與信號偵測器…….……28
4.1 簡介……………………………………………………………………..…28
4.2 多輸入多輸出(MIMO)系統介紹 ……………………………………..…29
4.3 時變通道的載波間干擾(ICI)效應……………………………….…….…31
4.4 通道估測………………………………………………………….…….…33
4.4.1 時間軸方向遞回最小平方(RLS)通道追蹤估測………………33
4.4.2 Shift Invariant Property…………………………………………34
4.4.3 RLS 內插器………………………………………………….…35
4.4.4 排序選擇性係數調整……………………………………..……40
4.4.5 RLS 化簡…………………………………………………….…44
4.4.6 頻率軸方向通道內插器 ………………………………………45
4.5 ICI 係數近似……………………….…………………………………..…46
4.6 ICI 效應補償…………….…….…………………………………….……48
4.7 模擬結果……………………….……………………………………….…49
第五章 硬體設計與實現……….…………………………………………….……58
5.1 設計流程簡介………………………………………………………………..…58
5.2 電路架構設計……………………………………………………………..……59
5.2.1 資料緩衝記憶體(Data Buffer)與領航訊號攫取緩衝記憶體(Pilot Extraction Buffer) ……………………………………………………59
5.2.2 時間方向內插器(Time Domain Interpolator) ………………………60
5.2.3 頻率方向內插器(Frequency Domain Interpolator) …………………62
5.2.4 多輸入多輸出MIMO訊號偵測器……………………………….…63
5.2.5 ICI係數近似與載波間干擾消除(ICI Cancellation) …………..……65
5.2.6 排序選擇性純化訊號……………………………………………..…70
5.2.7 RLS可適性演算法………………………………………………..…71
5.3 定點數模擬…………………………………………………………………..…75
5.4 有限字長.…………………………………………………………………..…79
第六章 結論與展望……………………………………………………………..…82
參考文獻………………………………………………………………………..……83
參考文獻 [1] 3GPP TR 25.814 V7.1.0 (2006-09) (Physical Layer Aspects for Evolved Universal Terrestrial Radio Access (E-UTRA)).
[2] 3GPP TS 36.211 V8.3.0 (2008-05) (Evolved Universal Terrestrial Radio Access (E-UTRA) Physical Channels and Modulation).
[3] 3GPP TR 25.996 V7.0.0 (2007-06) (Spatial Channel Mode for Multiple Input Multiple Output (MIMO) Simulations).
[4] P. Dent, G. E. Bottomley, and T. Croft, “Jakes Fading Model Revisited,” IEEE Electronic Letters, Jun. 1993.
[5] Marius F. Pop, and Norman C. Beaulieu, “Limitations of Sum-of-Sinusoids Fading Channel Simulators,” IEEE Transactions on Communications, vol. 49, no. 4, Apr. 2001, pp. 699-708.
[6] M. Sun, T. Juan, K. Lin, T. Hsu, “Adaptive Frequency-Domain Channel Estimator in 4x4 MIMO-OFDM Modems,” IEEE Transaction on Very Large Scale Integration Systems, vol. 17, pp. 1616-1625, Nov. 2009.
[7] P. Hoher, S. Kaiser, and P. Robertson, “Two-Dimensional Pilot-Symbol Aided Channel Estimation by Wiener Filtering,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1997, pp. 1845-1848.
[8] Y Li, L. J. Cimini, Jr., and N. R. Sollenberger, “Robust channel estimation for OFDM systems with rapid dispersive fading channels,” IEEE Transactions on Communications, vol.46, no.7, pp.902-915, Jul 1998.
[9] V. Fischer, A. Kurpiers, D.Karsunke, “ICI Reduction Method for OFDM Systems”, 8th international OFDM-Workshop, Sept. 2003
[10] Simon Haykin, “Adaptive Filter Theory” 4th edition, Prentice Hall, 2002.
[11] T.-S. Yang, A. Duel-Hallen, H. Hallen, “Enabling adaptive OFDM for mobile radio channels,” IEEE Military Communications Conference, vol.2, Nov. 2004, pp. 704-710.
[12] I. W. Lai, T. H. Yu, and T. D. Chiueh, “Low-Complexity Adaptive Channel Estimation for OFDM System in Fast-Fading Channel,” International Symposium on Circuits and Systems, May, 2009, pp. 685-688.
[13] X. Hou, S. Li, C. Yin, G. Yue, “Two-dimensional recursive least square adaptive channel estimation for OFDM systems,” IEEE International conference on Wireless Communications Networking and Mobile Computing, 2005, pp. 232-236
[14] Pei-Yun Tsai and Tzi-Dar Chiueh, “Adaptive raised-cosine channel interpolation for pilot-aided OFDM systems,” IEEE Transactions on Wireless Communications, vol.8, no.2, pp.1028-1037, Feb. 2009.
[15] Y. Mostofi and D. Cox, “ICI Mitigation for Pilot-Aided OFDM Mobile Systems,”
IEEE Transactions on Wireless Communications, vol. 4, no. 2, pp. 765-774, Mar.
2005.
[16] C. H. Hsiao, C. Y. Chen, T. D. Chiueh, “Design of a Dual-Mode Baseband Receiver for 802.11n and 802.16e MIMO OFDM/OFDMA,” in Proc. International Symposium on VLSI Design, Automation and Test, pp. 331 – 334, April 2009.
[17] S. H. Chen, W. H. He, H. S. Chen and Y. Lee, “Mode detection, Synchronization and channel estimation for DVB-T OFDM Receiver,” in Proc. of IEEE Global Telecommunications Conference, Global Communication Conference, vol. 5, Dec. 2003, pp. 2416–2420.
[18] C. H. Lin, Y. H. Lin, C. F. Wu, M. T. Shiue, C. K. Wang, “Cost Efficient FEQ Implementation for IEEE 802.16a OFDM Transceiver,” in Proc. International Symposium on VLSI Design, Automation and Test, pp. 154 – 157, April 2009.
[19] Y. Jin, Z. Zheng, X. Wang, Y. Zhang, “Discussion of 3GPP LTE MIMO Signal Detecting Algorithms Based on QR Decomposition,” in Proc. IITA International Conference on Control, Automation and Systems Engineering, pp.191-194, 2009
指導教授 蔡佩芸(Pei-Yun Tsai) 審核日期 2010-5-11
推文 facebook   plurk   twitter   funp   google   live   udn   HD   myshare   reddit   netvibes   friend   youpush   delicious   baidu   
網路書籤 Google bookmarks   del.icio.us   hemidemi   myshare   

若有論文相關問題,請聯絡國立中央大學圖書館推廣服務組 TEL:(03)422-7151轉57407,或E-mail聯絡  - 隱私權政策聲明