簡易檢索 / 詳目顯示

研究生: 劉嘉全
Chia-Chuan Liu
論文名稱: 結合遞迴式特徵序列最佳化和以分群為方法之多使用者偵測在DS-CDMA系統
Joint Iterative Signature Sequence Optimization and Group Oriented Multiuser Detection for DS-CDMA Systems
指導教授: 方文賢
Wen-Hsien Fang
口試委員: 洪賢昇
none
張順雄
none
曾德峰
Der-Feng Tseng
學位類別: 碩士
Master
系所名稱: 電資學院 - 電子工程系
Department of Electronic and Computer Engineering
論文出版年: 2006
畢業學年度: 94
語文別: 中文
論文頁數: 60
中文關鍵詞: 特徵序列片碼波形群組內跨群組
外文關鍵詞: signature sequence, chip waveform, within group, among groups
相關次數: 點閱:136下載:1
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
  • 在同步式上傳的分碼多工調變存取系統裡, 多重存取干擾是一個重要課
    題。在本篇論文, 我們使用陣列天線在接收端, 探討遞迴式特徵序列最佳化演
    算法。在多使用者的狀態和採用最小均方誤差法則時, 通常採用分群機制, 可
    以使計算複雜度降低。群組內的使用者採用特徵序列最佳化演算法得以加快
    其最佳化速度。但由於跨群組間使用者的互相干擾, 卻也因分群的原因而提
    高, 使得其位元錯誤率較未分群前來得高。基於此一原因, 本論文將探討如何
    降低跨群組間使用者的干擾, 來提升分群後最佳特徵序列多使用者偵測器效
    能, 以達到分群機制在特徵序列最佳化的可行性。
    由於一般作特徵序列最佳化時,通常採用多使用者偵測技術的最小均方差
    偵測器, 因而計算複雜度甚高。為了能使複雜度降低, 我們提出分群的機制,
    使得每一群因為人數減少而降低複雜度。但這麼作, 將增加群和群之間的干
    擾,而降低系統的效能。所以我們在每一群使用和其他群組互相正交的片碼波
    形(chip waveform)。如此,每一群裡面的序列因為經過更新,所以每一群裡的使
    用者相關性降到最低。而且跨群組之間又有正交的片碼波形作區隔, 因此整個
    系統在解調後, 除了計算複雜度降低外, 系統的效能也隨著每一群內與跨群組
    間的干擾降低而提升。
    另外,我們提出動態式天線分配法則,作為使用者分群的方式,解出各群組
    訊號的另一種作法。如此一來, 除了各群組訊號可用極低的運算量取得外, 對
    於使用者分怖過於密集, 我們可分配較多的接收天線於該群, 進而取得更佳的
    解析機制, 使系統效能得以提升。


    Multiple Access Interference (MAI) is one of the major impairments in the
    reverse link of Code Division Multiple Access (CDMA) systems. An effective
    scheme to overcome this setback is the minimum mean squared error multiuser
    detection (MMSE MUD),whose performance can be further enhanced with the
    optimization of the signature sequences. However, the computational complexity
    of the above scheme, in particular with antenna arrays at the receiver, calls for enormous amount of computations. To alleviate the computational load, in this thesis we consider a groupwise iterative signature sequence optimization algorithm in conjunction with the MMSE MUD. Based on the proposed scheme, all users are divided into appropriate groups based on the spatial location of users with signature sequence being optimized within each group, so the computational complexity can be reduced. Furthermore, to mitigate the interferences among groups, we also consider to assign orthogonal chip waveforms for different group. As such the correlation can be reduced for users in different groups. Also, a dynamic antenna assignment method is addressed, which assigns more antennas to the groups that have more users. Conducted simulations show that the new schemes can provide satisfactory performance with reduced complexity in various scenarios.

    第一章緒論1 1.1 引言. . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 研究動機與目的. . . . . . . . . . . . . . . . . . . . . 4 1.3 論文章節概述. . . . . . . . . . . . . . . . . . . . . . 6 第二章相關背景的回顧. . . . . . . . . . . . . . .. . .. . . 7 2.1 直序分碼多工調變存取資料模型. . . . . . . . . . . . . . 7 2.1.1 單輸入單輸出之接收訊號模型. . . . . . . . . . . . . . 8 2.1.2 接收端使用一維天線陣列之單輸入多輸出接收訊號模型. . . 9 2.1.3 多路徑衰減通道之接收訊號模型. . . . . . . . . . . . . 11 2.2 多使用者偵測技術–最小均方差偵測器介紹. . . . . . . . . 13 2.3 特徵序列最佳化. . . . . . . . . . . . . . . . . . . . . 17 2.4 結語. . . . . . . . . . . . . . . . . . . . . . . . . . 24 第三章結合遞迴式特徵序列最佳化和以分群為方法之多使用者偵 測. . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 3.1 使用者分群方法. . . . . . . . . . . . . . . . . . . . . 26 3.2 片碼波形分群機制. . . . . . . . . . . . . . . . . . . . 30 3.3 電腦模擬結果與討論. . . . . . . . . . . . . . . . . . . 34 3.4 結語. . . . . . . . . . . . . . . . . . . . . . . . . . 46 第四章動態式天線分配47 4.1 動態式天線選擇. . . . . . . . . . . . . . . . . . . . . 48 4.2 模擬結果與討論. . . . . . . . . . . . . . . . . . . . . 51 4.3 結語. . . . . . . . . . . . . . . . . . . . . . . . . . 55 第五章結論及未來展望. . . . . . . . . . . . . . . . . . . . 56 參考文獻. . . . . . . . . . . . . . . . . . . . . . . . . . 58

    [1] S. Verdu, Multi-user Detection. Cambridge University, 1998.
    [2] J. Sam Lee and L. E. Miller, System Engineering Handbook. Artech House,
    1998.
    [3] J. G. Proakis, Digital Communication, third Edition, McGraw-Hill, 1995.
    [4] T. K. Moon and W. C. Stirling, Mathematical Methods and Algorithms for
    Signal Processing, Prentice Hall, 2000.
    [5] A. Yener, R. D. Yates, and S. Ulukus, “Combined multiuser detection and
    beamforming for CDMA systems: Filter structures,” IEEE Transactions on
    Vehicular Technology, 51(5):1087-1095, Sept. 2002.
    [6] S. Serbetli, and A. Yener, “Signature Sequence Selection for CDMA Systems
    with Multiple Receiver Antennas,” IEEE International Conference on Communications,
    vol. 1, pp. 405 -409, June 2004.
    [7] T. K. Moon, and W. C. Stirling, Mathematical Methods and Algorithms for
    Signal Processing. Prentice Hall, 2000.
    [8] O. Filiz, and A. Yener, “Rank Constrained Temporal-Spatial Matrix Filter
    for CDMA Systems,”IEEE Transactions on Wireless Communications, vol.
    3, issue 6, pp. 1974-1979, Nov. 2004.
    [9] J. W. Park, S. H. Shin and K. S. Kwak, “Multiuser detection for DS-CDMA
    systems with adpative antenna array,” in Proc. of the IEEE TENCON, vol.
    2, pp. 1232-1235, 1999.
    [10] A. Yener, R. D. Yates and S. Ulukus, “Interference management for CDMA
    systems through power control, multiuser detection, and beamforming,” IEEE
    Trans. Communations, vol. 49, pp. 1227-1239, July 2001.
    [11] O. Kaya and S. Ulukus,“Jointly optimal power and signature sequence allocation
    for fading CDMA,” in Proc. IEEE Global Telecommunications Conference,
    pp.1872 - 1876, 2003
    58
    [12] G. S. Rajappan and M. L. Honig, “Signature sequence adaptation for DSCDMA
    with multipath,” IEEE Journal on Selected Areas in Communications,
    pp. 384-395, Feb. 2002.
    [13] S. Ulukus and R. D. Yates, “Iterative construction of optimum signature
    sequence sets in synchronous CDMA Systems,” IEEE Transaction on Information
    Theory, vol. 47, no. 5, pp. 1989-1998, July 2001.
    [14] J. T. Chen, C. B. Papadias, and G. J. Foschini, “Space-time dynamic signature
    assignment for the reverse link of DS-CDMA systems,” IEEE Trans.
    Communications, vol. 52, pp.120-129, 2004
    [15] S.L. Miller,“An adaptive direct-sequence code-division multiple-access receiver
    for multiuser interference rejection,” IEEE Transactions on Communications,
    vol. 43, pp. 1746 -1755, 1995.
    [16] W. Santipach and M.L. Honig,“Signature optimization for DS-CDMA with
    limited feedback,” in Proc. IEEE Seventh International Symposium, Spread
    Spectrum Techniques and Applications, pp. 180 - 184, 2002
    [17] M.K. Varanasi and B. Aazhang, “Optimal sequences, power control and user
    capacity of synchronous CDMA systems with linear MMSE multiuser receivers,”
    IEEE Trans. Inform. Theory, vol. 45, pp. 1968-1983, 1999.
    [18] L. C. Godara, “Applications of antenna arrays to mobile communications,
    Part II: Beamforming and direction-of-arrival consideration,” Proceedings of
    the IEEE, vol. 85, No. 8, Aug. 1997.
    [19] P.D. Papadimitriou and C.N. Georghiades,“Code-search for optimal TSC binary
    sequences with low cross-correlation spectrum ,” in Proc. IEEE Military
    Communications Conference, pp. 1071-1076, 2003.
    [20] 黃鉉珍, “Hybrid MMSE MUD and Dynamic Channel Assignment with Optimum
    Signature Sequence,” 國立台灣科技大學電子工程學研究所碩士論
    文, 2005.
    [21] T. S. Rappaport, Wireless Communications-Principles and Practice, 2nd.
    Prentice Hall PTR, 2002.
    [22] S. Moshavi, “Multi-user detection for DS-CDMA communications,” IEEE
    Communications Magazine, vol. 34, pp. 124-136, Oct. 1996.
    [23] J. W. Park, S. H. Shin and K. S. Kwak, “Multiuser detection for DS/CDMA
    systems with adaptive antenna array,” in in Proc. IEEE TENCOM, pp. 1232-
    1235, 1999.
    [24] C. U. Saraydar, A. Yener, “Adaptive Cell Sectorization for CDMA System,”
    IEEE Journal on selected areas in Communations, vol. 19, no. 6, pp. 1041-
    1051, June 2001.

    QR CODE