Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/8318
標題: 高階QAM通信系統的盲蔽式等化與載波恢復協同 設計與模擬
Design and Simulation of Joint Blind Equalization and Carrier Recovery for High-Order QAM Communication System
作者: 白政達
pai, Cheng-Ta
關鍵字: Carrier Recovery;載波恢復器;Blind Equalization;等化器
出版社: 電機工程學系所
引用: 中文參考資料 [1]井上伸雄,”圖解通訊科技”,世茂出版社,2003 [2]梁文軒,”應用於高階QAM調變系統之快速收斂盲蔽式等化器設計與實 作”, 國立中興大學論文, 民國96年6月 [3]李偉,“可應用於高階QAM調變系統之混合成本函數盲蔽式等化器設計 與FPGA實作”,國立中興大學論文, 民國95年6月 [4]范志鵬,”國立中興大學 數位通訊積體電路實習實驗教材 實習六” 西文參考資料 [5] John G. Proakis,”Digital Communications, Fourth edition”,McGraw-Hill, 2001. [6] D. Godard,”Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems”,IEEE Transactions on Communications, vol. 28, pp. 1867-1875, 1980 [7] Weerackody V. and Saleem A. Kassam,“Dual-Mode Type Algorithms for Blind equalization”, IEEE Transactions on Communications, volume 42, pp.22-28, 1994. [8] Nam Oh, K. and Ohk Chin, Y, “New Blind Equalization Techniques Based on Constant Modulus Algorithm”, IEEE Conference Global Telecommunications, vol. 2, pp 865-869, 1995 [9]Rodger E. Ziemer, William H. Tranter, Principles of Communications Systems, Modulation, and Noise, Fifth edition, Wiley, 2002. [10] S. Chen, S. McLaughlin, P.M. Grant and B. Mulgrew, “Multi-Stage Blind Clustering Equaliser”, IEEE Transactions on Communications, vol. 43, pp.701-705, 1995. [11] J. Yang, J.-J. Werner, G. A. Dumont, “The Multimodulus Blind Equalization and Its Generalized Algorithms”, IEEE J. Sel. Areas Communication, vol. 20, 54 no. 5, pp.997-1015, June 2002. [12] K. N. OH, “A Single/Multilevel Modulus Algorithm for Blind Equalization of QAM Signals,” IEICE Trans. Vol. E80-A, No. 6, pp.1033-1038, June 1997. [13] Belouchrani, A.; Wei Ren,” Blind carrier phase tracking with guaranteed global convergence”, Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on],Volume 45, July 1997 Page(s):1889 - 1894 [14] Ghyslain, G.; Choquette, F.; Belzile, J.; Gagnon, F.,” A simple and fast carrier recovery algorithm for high-order QAM”, Communications Letters, IEEE ,Volume 9, Issue 10, Oct. 2005 Page(s):918 - 920 [15] Yongxue Zhang; Lixin Yu,” Implementation of adaptive blind equalizer with carrier 46 recovery for QAM receiver chip”, ASIC, 2005. ASICON 2005. 6th International Conference On,Volume 1, 24-27 Oct. 2005 Page(s):147 - 152 [16] M. Madihian,” A wide dynamic-range phase detector for advanced communication systems application”, WESCANEX 93. ''Communications, Computers and Power in the Modern Environment.'' Conference Proceedings., IEEE 1993 Page(s):192 - 195 [17] Herbig, P.,” A new acquisition technique for carrier recovery with QAM signals”, Radio Relay Systems, 1993., Fourth European Conference on [18] Jablon, N.K,” Carrier recovery for blind equalization”, 23-26 May 1989 Page(s):1211 - 1214 vol.2 [19] He, J.; Englefield, C.G.; Goud, P.A.,” Performance of SRC-filtered ODQPSK in mobile radio communications”, Vehicular Technology Conference, 1993 IEEE 43rd 18-20 May 1993 Page(s):668 - 671 [20] Xu Jinbiao; Ma Fulong; Wang Yumin,” Soft decision-directed blind equalization”, Signal Processing, 1996., 3rd International Conference on Volume 1, 14-18 Oct. 1996 Page(s):32 - 35 vol.1 網路資源 [21] http://www.emax.net.tw/netservice_catv.html
摘要: 
在混合光纖與同軸電纜(HFC,Hybrid-Fiber-and-Coaxial)的通訊傳輸當中,隨著時代的進步,對於傳輸時頻寬的要求也跟著提高了,而在提高頻寬的同時,也產生了許多的問題。例如,為了增加頻寬使用率而造成的符元間干擾(ISI,Inter-Symbol Interference),及在傳輸過程當中所受到的相位偏移的影響,皆會造成我們在提高傳輸頻寬時的困難。我們藉由[3]當中的盲蔽式等化器演算法效能的提高,去增加有線通訊系統的接收機效能。我們以MCMA+DD/DD[3]的等化器演算法與CMA 等化器演算法,分別加入均方根餘弦濾波器驗證系統組合架構的可行性及效能,並比較在64/256/1024 的QAM 調變系統中等化器演算法與均方根餘弦濾波器在同步系統當中的收斂結果。而後調整載波恢復器的架構,變動相位鑑別器、 迴路濾波器及數值控制振盪器的參數設定與處理訊號的順序,去得到一個收斂效能較好的載波恢復器。觀察在各階調變系統中雜訊干擾對載波恢復器效能的影響後,利用載波恢復器與MCMA+DD 及CMA 等化器演算法的搭配去對接收信號進行收斂。在第一階等化器的運作模式,我們利用不同等化器去對接收信號進行通道效應的消除,使載波恢復器可以在較乾淨的環境去進行相位偏移的補償;在載波恢復器收斂後,我們再切換等化器演算法的運作方式,使接收端可以得到更低的符元錯誤率(SER,symbol error rate)及均方誤差(MSE,mean square error)。

In Hybrid-Fiber-and-Coaxial the transmission of communications ,the transmission bandwidth demands increase with the progress of the times ,but also generated a lot of problems。For example, to increase bandwidth usage caused by the ISI, and in the course of transmission by the phase offset by the impact will cause us all to improve bandwidth at the difficulties. We By [3] of the Bi-blind Equalizer improve the performance of algorithms, the cable communications system to increase the effectiveness of receivers.
We used modified constant modulus algorithm (MCMA) + decision-directed (DD) / DD [3] the equalizer algorithms and constant modulus algorithm(CMA) equalizer algorithms , respectively square-root raised cosine (SRRC) filter verification system structure of the composition of the feasibility and effectiveness, and to compare in 64/256/1024 the QAM modulation system in the equalizer algorithms and square-root raised cosine filter are in synchronization the convergence results. Then adjust the structure for carrier recovery, phase detector, loop filter, numerically controlled oscillator and set the parameters and signal processing the order, to get a better performance of convergence for the carrier recovery. Observed in various order of modulation system noise interference on carrier recovery for the impact of performance, and the use of carrier recovery for MCMA + DD and the CMA equalizer with algorithms to receive the signal convergence。Equalizer mode of operation in the first stage, we use different algorithms to eliminate Equalizer receive signals in the channel effect, the carrier could resume in a relatively clean environment to carry out the transmission phase shift of compensation; The carrier recovery for convergence, we Equalizer algorithms to switch the mode of operation so that the receiver can get a lower symbol error rate(SER) and mean square error(MSE).
URI: http://hdl.handle.net/11455/8318
其他識別: U0005-2207200814371500
Appears in Collections:電機工程學系所

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