跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.85) 您好!臺灣時間:2024/12/07 10:44
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳建鈞
研究生(外文):Chien-Chun Chen
論文名稱:自主式等化器設計應用於直接序列展頻分碼多重接取系統
論文名稱(外文):DESIGN OF BLIND EQUALIZER FOR DS-SS CDMA SYSTEMS
指導教授:李俊男李俊男引用關係
指導教授(外文):Jin-Nan Li
學位類別:碩士
校院名稱:義守大學
系所名稱:電機工程學系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:65
中文關鍵詞:分碼多重接取高階統計訊號理論自主式等化器線性通道多重路徑干擾碼際間干擾近遠效應多重接取干擾
外文關鍵詞:Code Division Multiple AccessHigher Order Statistics signal theoryBlind equalizerlinear channelmulti-path fadingIntersymbol Interferencenear-far effectMultiple Access Interference
相關次數:
  • 被引用被引用:0
  • 點閱點閱:365
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
摘要
在本論文中,探討以一自主式等化器(blind equalizer)設計,應用於無線多用戶分碼多重接取(CDMA)線性通道(linear channel)系統上。利用適應性(Adaptive)演算法,並探討高階統計(Higher order statistics)接收端訊號之值,來分析與模擬等化器之特性。
分碼多重接取(CDMA)系統是第三代地面行動(land mobile)及衛星通訊(satellite communication)之主要系統之一,也是當前無線通訊中重要的研究課題之一。
一般CDMA 系統中,在設計及分析上,有二個主要的干擾因素;即 (1)經由多重路徑(multi-path)所造成的碼際間干擾(Intersymbol Interference, ISI); (2)經由近遠效應(near-far effect)造成的多重接取干擾(Multiple Access Interference, MAI)。上述之干擾因素會使地面行動通訊及衛星通訊造成嚴重傳輸錯誤。
傳統克服 ISI之方法必須使用參考信號(reference signal)方可將訊號順利攫取(extraction),但此種方法應用於多用戶(multiuser)通訊系統的限制頗大。因此我們發展一自主式等化器,只需利用接收端的訊號便可將ISI及MAI之干擾克服,並將傳輸訊號估測出來。
本論文乃直接由接收端訊號去分析,利用高階統計(Higher order statistics)訊號理論為準則(criterion)之演算法,來估測出原始訊號,並將此方法應用於多用戶多通道(multi-users multi-channels)之線性CDMA系統上。在此,比較兩個線性等化器模型,分析演算法收斂特性、穩定性,並改善其複雜度與運算量;在模擬結果中,証實了此篇文章提出的方法之正確性與其可行性。

ABSTRACT
In this thesis, the design of blind equalizer for linear multi-user communication system is discussed and applied to a DS-SS CDMA (Direct sequence-Spread spectrum Code Division Multiple Access) system. We design the blind equalizer, using adaptive algorithm and the value of Higher Order Statistics(HOS) of the receiver signals.
CDMA has become one of the systems of land mobile and satellite communications in the third generation. Then, the design of wireless CDMA is also one of the most important research topic of wireless communications.
In the design and analysis of the low-rate CDMA systems, the presence of intersymbol interference(ISI) is neglected. However, for the high-rate CDMA systems, there are two important interferences; i.e.:(1) Intersymbol interference(ISI) due to the multi-path nature of wireless channel. (2) Multiple access interference(MAI) due to near-far effect. These interferences are major impediment to the system performance in land mobile and satellite communication.
In general, we need an adaptive equalizer which uses a reference signal to overcome ISI(Intersymbol Interference) and MAI(Multiple Access Interference), but this kind of method has many constraints for the multi-user communication systems. In this thesis, the method of blind equalizer without reference signals is exploited to solve this problem.
We analyze the receiver signals directly, and estimate the original signal by algorithms which are based on the criterion of Higher Order Statistics signal theory. In order to improve the complexity and operating time, we analyze the stability and the property of convergent rate between two different models of linear equalizer by application for the linear multi-user and multi-channels CDMA systems. The outcome of simulation supports the correction and feasibility of the new idea.

目錄
中文摘要…………………………………………………………………I
英文摘要………………………………………………………………IV
目錄…………………………………………………………………VII
表目錄…………………………………………………………………IX
圖目錄………………………………………………………………X
前言………………………………………………………………………1
第一章 導論……………………………………………………………3
1.1 研究動機……………………………………………………3
1.2 論文結構……………………………………………………4
第二章 直接序列展頻DSS-SS系統…………………………………6
第三章 等化器模型…………………………………………………11
3.1 線性等化器模型 - 架構一……………………………11
3.2 線性等化器模型 - 架構二………………………17
第四章 高階統計訊號理論…………………………………………27
4.1 Cumulant之定義………………………………………27
4.2 Cumulant之特性………………………………………29
4.3 線性系統………………………………………………30
4.4 Kurtosis之特性…………………………………………32
第五章 等化器之設計………………………………………………37
5.1 自主式等化器………………………………………………38
5.2 適應性演算法應用於自主式等化器……………………39
5.2.1 適應性演算法應用於自主式等化器模型 — 架構一…39
5.2.2 適應性演算法應用於自主式等化器模型 — 架構二…41
第六章 電腦模擬………………………………………………43
6.1 M sequence編碼方式………………………………………43
6.2 Walsh code編碼方式………………………………………46
6.3 線性等化器模型 — 架構一………………………………48
6.4 線性等化器模型 — 架構二………………………………49
6.5 收斂特性之比較…………………………………………49
結論與展望…………………………………………………………61
參考文獻………………………………………………………………62

參考文獻
[1]X. Wang and H.V. Poor, “Blind equalization and multiuser detection in dispersive CDMA channels,” IEEE Trans. on Communication, vol. 46, no. I, pp. 91-103, Jan. , 1998.
[2]R.O. LaMaire et al, “Wireless lans and mobile networking: standard and future directions,” IEEE Communication Mag., pp. 86-94, Aug. , 1996.
[3]K. Pahlavan, T.J. Probert, and M.E. Chase, “Trends in local wireless networks,” IEEE Communication Mag., pp. 88-95, Mar. , 1995.
[4]P.G. Flikkema, “Spread-spectrum technique for wireless communication,” IEEE signal processing Mag., pp 26-28, May, 1997.
[5]A.J. Viterbi, “CDMA,” Addison-Wesley, 1995.
[6]David J. Goodman, “Wireless personal communication systems,” Addison-Wesley, 1998.
[7]Dr. Kamilo Feher, “Wireless digital communications,” Prentice-Hall PTR, 1995.
[8]Chrysostomos L. Nikias and Athina P. Petropulu, “High-order spectra analysis,” Prentice-Hall PTR, 1993.
[9]Simon Haykin, “Blind deconvolution,” Prentice-Hall PTR, 1994.
[10]William Stallings, “Wireless communications and networks,” Prentice-Hall PTR, 2002.
[11]R. Padovani, “Reverse link performance of IS-95 based cellular systems,” IEEE Personal Communicayions, vol. 1, no. 3, pp. 28-34, 1994.
[12]P.G. Andermo and L.S. Ewerbring, “A CDMA based radio access design for UMTS,” IEEE Personal Communications, vol. 2, no. 1, pp. 48-53, 1995.
[13]M.K. Tsatsanis and G.B. Giannakis, “Blind estimation of direct sequence spread spectrum signals in multipath,” IEEE Trans. On Signal Processing, vol. 45, no. 5, pp. 1241-1252, May, 1997.
[14]L. Castedo, C.J. Escudero, and A. Depena, “A blind signal seprartion method for multiuser communication,” IEEE Trans. on Signal Processing, vol. 45, no.5, pp. 1343-1348, May, 1997.
[15]U. Madhow and M.L. Honing, “MMSE interference suppression for direct-sequence spread spectrum CDMA,” IEEE Trans. Commun,vol. 42, pp. 3178-3188, Dec. , 1994.
[16]A.J. Redfern, G.T. Zhou, “Blind equalization of CDMA systems with nonlinear channels,” Proceeding in 33rd Asilomar conference on Signals, Systems, and Computers, vol.2, pp. 986-990, 1999.
[17]H. Fan, X. Li, “Linear prediction Approach for joint blind equalization and blind multiuser detection in CDMA systems,” IEEE Trans. On Signal Processing, vol. 11, pp. 3134-3145, 2000.
[18]G.B. Giannakis, and E. Serpedin, “Linear multichannel blind equalizers of nonlinear FIR Volterra channels,” IEEE Trans. On Signal Processing, vol. 45, no. 1, pp. 67-81, Jan. , 1997.
[19]M. Honig, U. Madhow, and S. Verdu, “Blind multiuser detection,” IEEE Trans. Inform. Theory, vol. 41, pp. 994-960, July, 1995.
[20]G. Karam and H. Sari, “A data predistortion technique with memory for QAM radio systems,” IEEE Trans. Commun. vol. 39, pp. 336-344, Feb. , 1991.
[21]H. Liu and G. Xu, “A subspace method for signature waveform estimation in synchronous CDMA systems,” IEEE Trans. On Signal Processing, vol. 44, no. 10, pp. 1346-1354, 1996.
[22]H. Liu and M. Zoltowski, “Blind equalization in antenna array CDMA systems,” IEEE Trans on Signal Processing, vol. 45, no. 1, pp. 161-173, 1997.
[23]G. Xu, H. Liu, L. Tong and T. Kailath, “A least-square approach to blind channel identification,” IEEE Trans. On Signal Processing, vol. 43, no. 12, pp. 2982 —2993, Dec. , 1995.
[24]J.N. Li, “Entwurf und Analyse neure Algorithmen fiir die blinde Kanalentzerrung unter Verwendung hoherer Momente,” Dissertation,THDarmstadt, Germany, 1995.
[25]L. L. Scharf, “Statistical Signal Processing-Detection, Estimation, and Time Series Analysis,” Addison Wesley, 1991.
[26]S. Haykin, “Adaptive Filter Theory - 3rd edition,” Prentice Hall International Edition, 1996.
[27]A.J. Bell and T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Comput, vol. 7, pp. 1129-1159, Nov. , 1995.
[28]葉茂森,“非線性快速演算法自主式等化器之設計與應用”,高雄工學院電機工程研究所碩士論文,1997。
[29]孫俊宏,“多信號率濾波器組之自主式等化器設計應用於碼域多址連接通訊系統”, 義守大學電機工程研究所碩士論文,2000。
[30]呂泰億,“一子空間自主式等化器設計並利用Viterbi演算法應用於碼域多址連接通訊系統”,義守大學電機工程研究所碩士論文,2000。
[31]莊國賢,“自主式等化器應用於非線性多輸入多輸出通道系統”,義守大學電機工程研究所碩士論文,2001。

QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top
1. 16. 祝家華,〈文化:大馬學童誦讀中華經典〉,《亞洲週刊》,14:4,2000.1.17-1.23,頁42-43。
2. 14. 韋金龍,〈國小英語教學可能面臨的難題及對策〉,《英語教學》,第93期,1999.7,頁86-92。
3. 12. 侯崇文,〈社會失序、自我保護與害怕犯罪〉,《犯罪學期刊》,第一期,1995.7,頁51-75。
4. 10. 林登順,〈《文心雕龍》之經學思想與兒童讀經教育之關係初探〉,《語文教育通訊》,第18期,1999.06,頁12-22。
5. 8. 李政勳,〈談兒童讀經〉,《中國語文月刊》,475期,1997.01,頁86-89。
6. 7. 李威熊,〈讀經問題〉,《孔孟月刊》,19:2,1980.10,頁69-74。
7. 6. 吳進安,〈提高生活素質,減低文化失調〉,《幼獅月刊》,59卷第3期,1984.3,頁61-63。
8. 5. 吳進安,〈提高生活素質,減低文化失調〉,《幼獅月刊》,59卷第3期,1984.3,頁61-63。
9. 1. 王嘉龍,〈從教育部發起「全國兒童閱讀週」活動--談家庭親子閱讀活動〉,《全國新書資訊月刊》,2001.3,頁8-10。
10. 17. 張怡貞、蔡秉倫、王建堯,〈目前兒童讀經運動的探討〉,《國教之聲》,第31卷第1期,1997.10.22,頁34-39。
11. 19. 莊義仁,〈台灣「轉型期」社會問題剖析〉,《中國論壇》,32卷第1期,1991.10,頁57-62。
12. 23. 陳羿足,〈經典與親子教育〉,《教育社會學通訊》,2000.6,頁35-40。
13. 24. 程樹德,〈就孩子的命,革教育的命〉,《教育資料文摘》25,1991.2,頁180-183。
14. 25. 黃光國,〈台灣當前的文化危機與科技創新〉,193期,《歷史月刊》,民國1999.8,頁28-37。
15. 29. 蔣國保,〈儒學的現代困境與未來發展〉,《哲學與文化》,二十七卷第五期,民國2000.5,頁456-466。