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博碩士論文 etd-0620101-002639 詳細資訊
Title page for etd-0620101-002639
論文名稱
Title
時變多重路徑通道下DS-CDMA通訊系統 之可適性空間-時間接收器
Adaptive Space-Time Receiver for DS-CDMA Communication Systems in Time-varying Multipath Channels
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
88
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2001-06-19
繳交日期
Date of Submission
2001-06-20
關鍵字
Keywords
DS-CDMA、Space-Time receiver、H∞ algorithm
空間-時間接收器, H∞ 演算法, 直接序列-分碼多重接取
統計
Statistics
本論文已被瀏覽 5658 次,被下載 4074
The thesis/dissertation has been browsed 5658 times, has been downloaded 4074 times.
中文摘要
當網際網路和多媒體傳輸被預期為未來無線通訊系統所必須具備的功能時,第三代無線CDMA通訊系統對頻寬的需求相對增加。然而,在頻寬有限的情形下,如何對頻寬做有效率的使用變成一個重要的課題。在此前提下,一個結合天線陣列和等化器結構的空間-時間訊號接收器被發展來克服DS-CDMA通訊系統中存在的多重接取干擾(Multiple Access Interference, MAI)及碼際干擾(Intersymbol Interference, ISI)。
本論文中,我們基於 演算法而發展一個在時變多重路徑通道下,使用於直接序列分碼多重接取(DS-CDMA)通訊系統的空間-時間訊號接收器。首先,經由時變多重路徑通道的空間-時間相關性,我們建立了基地台上天線陣列所接收到的訊號向量。接著利用適應性 演算法來克服訊號接收中所遭遇的都卜勒效應,然而,由於 演算法的計算負載相當大,因此我們利用切割子陣列的子權重分割技術來降低 演算法的計算複雜度。基地台接收的時變入射訊號路徑方向樣本被完整模擬呈現,從電腦模擬中,可以驗證當使用於我們所建議的空間-時間訊號接收器時, 演算法較RLS(Recursive
Least Square)演算法有更好的效能。
Abstract
As the internet and multimedia transportation are envisaged as inherent functions, the generation CDMA system demands a dramatic bandwidth increase. It becomes an important topic to achieve high spectral efficiency over the limited available spectrum. Combing antenna array and equalizer structure, a space-time signal receiver is developed to overcome multiple access interference and intersymbol interference in DS-CDMA systems.
In this paper, a space-time signal receiver based on the algorithm is developed for direct-sequence code-division multiple access (DS-CDMA) communication systems in time-varying multipath channels. At first, the received signal vectors of an antenna array at base station are constructed via the spatio-temporal correlation properties of time-varying multipath channels. The adaptive algorithm is employed to mitigate the Doppler’s affect on the performance of signal detection. However, the computational burden of the algorithm is enormous. To reduce the computational complexity, the subweight partition technique is incorporated into the algorithm. The time-varying path directivity patterns for a receiver at base station are simulated. Computer simulations validate the advantages of the algorithm over the recursive least-squares (RLS) algorithm for the signal detection of the proposed space-time receiver.
目次 Table of Contents
感謝詞.........................I
中文摘要.......................II
英文摘要.......................III
目錄...........................IV
圖表目錄.......................VI
第一章 緒言
1.1文獻探討....................1
1.2研究動機....................3
第二章 空間-時間訊號處理.......5
2.1 無線通道現象 5
2.1.1 路徑損耗(Path Loss) 5
2.1.2 衰減(Fading) 6
2.1.2.1 緩慢衰減 6
2.1.2.2 快速衰減 7
2.1.2.3 都卜勒頻率擴展(Doppler Spread) 8
2.1.2.4 延遲擴展(Delay Spred) 8
2.1.1.5 角度擴展(Angle Spread) 9
2.2 空間-時間訊號處理 9
2.2.1 時間訊號處理(Time-Only) 9
2.2.2 空間訊號處理(Space-Only) 11
2.2.3 空間-時間訊號處理 12
2.3 電腦模擬及分析 14
第三章 時變多重路徑向量通道模擬器 22
3.1 時變多重路徑向量通道 22
3.2 第二階統計特性 25
3.3 向量通道模擬器 27
3.4 複數通道係數產生器 27
3.4.1 時間相關性轉換濾波器 29
3.4.2 空間相關性轉換 30
3.4.3 內差器 31
3.5 電腦模擬與分析 32
第四章 適應性空間-時間接收器 40
4.1 訊號模型 40
4.2 空間-時間接收器 41
4.3 遞迴最小平方演算法(RLS) 43
4.4 適應性 演算法 46
4.5 電腦模擬與分析 50
第五章 利用子權重分割技術之適應性演算法 59
5.1 子權重分割技術 59
5.2 應用子權重分割技術的適應性演算法 61
5.2.1 基於RLS濾波演算法 61
5.2.2 基於 濾波演算法 64
5.3 電腦模擬與分析 65
第六章 討論與建議 71
參考文獻 73
附錄 A i
附錄 B ii
縮寫 iii
參考文獻 References
[1]Jorg Eberspacher and Hans-Jorg Vogel, GSM Switching, Services and
Protocols , John wiley & sons, New York, 1999.
[2]Pandya R., “IMT-2000 Standards: Network Aspects,” IEEE Personal
communications, vol. 4, pp. 20-29 , August 1997.
[3]Ane Cerboni, “Economics of IMT-2000 3G mobile systems , ” IEEE Global
Telecommunications Conference, vol 1, pp. 236-240, August 2000.
[4]Carsello, R., “IMT-2000 Standards: Radio Aspects, ” IEEE Perso-
nal communications, vol 4, pp. 30-40, August 1997.
[5]Dr.Aller C. Chen, “Overview of Code Division Multiple Access Technology for
Wireless communications,” IECON'98, vol 1, pp. 15-24, May 1998.
[6]Tero Ojanpera and Ramjee Prasad, “An Overview of Air interface Multiple
access for imt-2000/umts,” IEEE communications magazine,vol 36, pp. 82-95,
September 1998.
[7]Ryuji Kohno, “Spatial and temporal communication theory using
adaptive antenna array,” IEEE personal communications, vol 5
pp. 28-54, February 1998.
[8]S.Haykin, Adaptive filter theory, Prentice-Hall, Englewood cliffs,
NJ, 1996.
[9]S.Verdu, Multiuser Detection, Advances communications and signal
precessing, JAI Press Inc., pp. 369-409, 1993.
[10]C. B. Papadias and A. Paularj, “Space-time processing for wireless
communications: a survey,” IEEE Signal Processing Mag., vol 48, pp. 49-
83, Nov. 1997.
[11]A.Naguib and A. Paulraj, “Performance of wireless CDMA with M-ary
orthogonal modulation and cell antenna arrays,” IEEE journal on Selected
areas communications , vol 14, pp. 1770-1783, Dec 1996.
[12]S. Miller and S. Schwartz, “Integrated spatial-temporal detectors for
asynchronous gaussian multiple-access channels,” IEEE transactions on
communications, vol 43, pp. 396-411, Feb 1995.
[13]H. Huang , S.Schwartz, “Combined multiple and spatial resolution for
multiuser detection:Potention and problems,” Preceedings of the IEEE
internation symposium on information theory, pp.380-383, Nov. 1995.
[14]M.Nagatsuka and R. Kohno, “A spatially and temporally optimal multi-user
receiver using an array antenna DS/CDMA,” IEICE transaction on
communications, vol 3, pp. 1489-1497, Nov.1995.
[15]Theodore S. Rappaport, Wireless communication, PTR, New Jersey,
1996.
[16]P. A. Bello, “Characterization of randomly time-invariant linear chan
nels,” IEEE trans.Commun.Syst, vol 3, pp. 360-393, Dec. 1963.
[17] William C. Y. Lee, Mobile communications design fundamentals,
Wiley, Second edition, NY, 1993.
[18] Richard B. Ertel and Paulo cardieri, “Overview of spatial channel m-
odels for antenna array communication systems,” IEEE personal com. , vol
5, pp. 10-22 , February 1998.
[19]J. J. Blanz, P. Jung, and P. W. Baier, “A Flexibly configurable Statis-
tical channel model for mobile redio systems eith Directional divers-
ity,” AGARD SPP Symp., vol 46, pp. 38-1-11, March 1995.
[20] A. J. van der Veen, S. Talwar, and A. Paulraj, “A subspace approach to
blind space-time signal processing for wireless communication systems,”
IEEE Trans. Signal Processing, vol. 45, pp. 173-190, Jan. 1997.
[21] L. Tong, G. Xu, and T. Kailath, “Fast blind equalization via antenna
arrays,” in Proc. ICASSP, vol. 4, pp. 272-275, Nov. 1993.
[22] U.shaked ang Y. Theodor, “ -optimal estimation: A tutorial,” in Proc.
21st IEEE CDC, vol 2, pp. 2278-2286, Dec. 1992.
[23] I. Yaesh and U. Shaked, “Game theoty approach to state estimation of
linear discrete-time processes and its relation to -Optimal estimation,”
Int. J. Control, vol. 55, pp. 1443-1452, 1992.
[24] Alex Sephenne and Benoit Champagne, “On the simulation of multi-
path vectorial channels for the evaluation of antenna array systems,”
CCECE’97, vol 1, pp. 347-350, May 1997
[25] G. Rayleigh. S. N. Diggavi, A. F. Naguib, “Characterization of fast
fading vector channels for multi-antenna communication systems,”, Proc
28th Asilomar conf, vol 2, pp. 853-857, Nov. 1995.
[26] William C. Jakes, Microwave Mobile Communication , John Wiley,
New York, 1974.
[27] R. Steele, Mobile Radio communications, Pentech Press, 1992.
[28] R. Riegler and R.T. Compton Jr, “An adaptive array for interference
rejection,” proc of IEEE, vol 3, pp. 748-758, June 1973.
[29] A. F. Naguib , “Adaptive antenna for CDMA wireless network,” Ph.D
Thesis, Stanford University, 1996.
[30] A. F. Naguib, A. Paulraj, “Performance of DS/CDMA with M-ary or-
thogonal modulation cell site antenna arrays”, Proc. ICC’95, vol 14, pp.
697-702, June 1995.
[31] Vinay K. Ingle, John G. Proakis.Digital Signal Processing using Ma- lab,
FWS, Boston, 1997
[32] Howard Huang and constantinous Papadiad, “Linear Space-time M-
ultiuser Receivers for Wireless CDMA systems,” Electrical and
Computer Engineering, IEEE Canadian Conference , vol 1, pp.
421-424 , Nov. 1998.
[33] Abdelgader M.Legnain,David D.Falconer, and Asrar U.H.Sheikh, “New
Adaptive Combined Space-time Receiver for multiuser Interf-
erence rejiction in Synchr-ounous CDMA systems,” IEEE Canadian Conference
on Electrical and Computer Engineering, vol 1, pp. 421 - 424, 1998.
[34] X. Shen and L. Deng, “Discrete filter design with application to speech
enhancement,” in Proc. ICASSP’95, Detroit, vol 5, pp. 1504-1507, May
1995.
[35] Shiann-Jeng Yu and Ju-Hong Lee, “Adaptive array beamforming ba-sed on an
efficient technique,” IEEE Trans. Antennas and Propagation, vol. 44, no.
8, pp.1094-1101, August 1996.
[36] A. V. Oppenheim and R. W. Schafer, Discrete-timeSignalPrecessing. Prentice-
Hall, 1989.
[37] W.Zhuang, “Adaptive channel equalization for wireless personal
communications,” IEEE Trans. Vehicular Technology, vol. VT-48,
no. 1, pp. 126-136, Jan. 1999.
[38] J. E. Hudson, Adaptive Array Principles, NEW York, Peregrinus Ltd. 1995.
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