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研究生: 蔡宗祐
Tzung-You Tsai
論文名稱: 兩級式軟性接收器在結合空間-時間區塊碼與空間多工之多輸入多輸出系統
Soft information assisted two-stage receiver for combined space-time block code and spatial multiplexing systems
指導教授: 方文賢
Wen-Hsien Fang
口試委員: 賴坤財 
Kuen-Tsair Lay
陳郁堂 
Yie-tarng Chen
洪賢昇
Hsien-Sen Hung
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: 2009
畢業學年度: 97
語文別: 中文
論文頁數: 60
中文關鍵詞: 符元偵測多輸入多輸出多工增益分集增益軟性決策廣義旁瓣消除器空間時間區塊碼空間多工
外文關鍵詞: multiplexing gain
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  • 由於無線通訊系統一直朝著高速傳輸與高可靠度這兩個方向發展,多輸入多輸出系統已經成為相當重要的技術之一。
    多輸入多輸出系統中較常見的技術大致上有空間多工與傳輸分集兩種,分別提供了多工增益與分集增益。
    現今對於無線通訊品質的要求也愈來愈高的環境,為能兼得多輸入多輸出系統之分集增益與高傳輸速率兩項優點,
    因此結合空間-時間區塊碼與空間多工之多輸入多輸出的系統被提出來,其目的為能同時獲得高分集增益與高傳輸速率。
    亦同時引起許多研究學者的興趣,針對此系統而設計的接收器也陸續被提出。此些接收器雖能提供不錯的效能,
    但仍存在著多重存取干擾的情形。

    基於軟式決策比硬式決策可更進一步提昇偵測效能,
    於本論文中,我們在結合空間-時間區塊碼與空間多工之多輸入多輸出系統下利用高效能之軟性決策資訊協助的訊號偵測器解調,
    提出了兩級式軟性決策廣義旁瓣消除器,其中第一級為廣義旁瓣消除器解出各傳送訊號之初始值,
    於第二級中作干擾消除之動作且該接收器加入軟性決策因子,以加強訊號偵測之用。該接收器提供了優異的效能,
    但其計算複雜度偏高,因此我們又提出了一個兩級式低複雜度軟性決策廣義旁瓣消除器,該方法亦是採用兩級式作法,
    於第一級之廣義旁瓣消除器中加入軟性決策,而第二級採用軟性決策匹配濾波器,使其複雜度降低。最後,我們對發展之演算法,
    進行電腦模擬與效能分析,而實驗結果也驗証了本文所提之偵測器,相較於之前的方法確實能得到更好的系統性能。


    With the growing demand for high transmission data rates and communication link quality,
    Multiple-input multiple output (MIMO) systems, which deploy multiple antennas at both transmitter and receiver,
    have been regarded as a promise for next generation wireless communication standards.
    Two most popular technologies employed by MIMO systems include spatial multiplexing (SM) and space-time block codes (STBC).
    The multiple access interference, however, is one of the biggest impediments to the communication quality of MIMO systems.
    To alleviate this setback, a flurry a research has been conducted to devise effective receivers.

    This thesis presents a novel space-time receiver with the assistance of soft information for the Alamouti STBC and SM combined systems,
    which possesses the advantages of both high diversity gain and high data rates.
    To effectively combat the interference,
    a two-stage soft generalized sidelobe canceller (GSC)-based detector which uses the soft information to enhance the interference cancellation capability.
    The first stage of the receiver provides an initial estimate of the transmitted symbols,
    whereas at the second stage the soft GSC-based detectors successively refine the estimates of interference group by group
    with the assistance of the information in the symbol detection process. To alleviate the computational overhead,
    we also address another receiver,
    which uses the a set of soft GSC in the first stage so as to provide a more precise initial estimates of the transmitted symbols,
    and then uses the matched filters (MF) to estimate the interference in the second stage to lower the computational load.
    Conducted simulations show that both of the developed detectors can provide superior performance compared with pervious works.
    The second receiver can greatly reduce the complexity with slight performance degradation.

    第一章 緒論 1.1 引言 1.2 研究動機與目的 1.3 內容章節概述 第二章 多輸入多輸出系統的特性 2.1 多輸入多輸出系統之訊號模型 2.2 空間多工與空間-時間區塊碼 2.3 結合空間-時間區塊碼與空間多工之多輸入多輸出系統 2.4 結語 第三章 3.1 最佳化偵測器 3.2 次佳化偵測器 3.2.1 零強制偵測器 3.2.2 最小均方誤差偵測器 3.2.3 線性限制最小方差偵測器與廣義旁瓣消除器 3.3 干擾消除 3.3.1 串列式干擾消除法 3.3.2 並列式干擾消除法 3.4 針對結合空間-時間區塊碼與空間多工之多輸入多輸出系統其接收器設計 3.4.1 分群偵測器 3.4.2 分群階層式空間-時間偵測器 3.4.3 符元偵測器 3.5 結語 第四章 兩級式軟性決策廣義旁瓣消除器 4.1 兩級式軟性決策廣義旁瓣消除器 4.2 兩級式低複雜度軟性決策廣義旁瓣消除器 4.3 限制條件及運算複雜度分析 4.4 結合空間-時間區塊碼與空間多工之多做用者多輸入多輸出系統 4.5 結語 第五章 電腦模擬結果與討論 5.1 電腦模擬結果與討論 5.2 結語 第六章 結論及未來展望 6.1 結論 6.2 未來展望 參考文獻

    [1] M. P. Metroka, “An introduction to narrowband AMPS,”in Proc. IEEE
    GlobeCom, vol. 2,pp. 1463-1468 , Dec. 1991.
    [2] J. Uddenfeldt, “GSM-European cellular goes ditital,”IEE Review, vol.37,
    pp.253-257 , July. 1991.
    [3] V. K.Grag, IS-95 and CDMA2000. Prentice Hall,Upper Saddle River, NJ,
    2000.
    [4] T. Ojanpera and R. Prasad, “An overvier of third-generation wireless perpsonal
    communications: A European prospective,”Wireless Pers. Commun.,
    vol.5, pp.59-65, Dec. 1998.
    [5] H. Zhai, X. Chen, and Y. Fang, “How well can the IEEE 802.11 wireless LAN
    support quality of service?”IEEE Trans. Wireless Commun., vol.4, pp.3084-
    3094, Nov. 2005.
    [6] S. Verdu, Multiuser Detection. Cambridge University Press, 1998.
    [7] L. Zheng and D. Tse, “Diversity and multiplexing: a fundamental tradeoff in
    multiple antenna channels,” IEEE Trans. Inform. Theory, vol. 49 pp. 1073-
    1096, May. 2003.
    [8] V. Tarokh, N. Seshadri, and A. R. Calderbank, “Space-time codes for high
    data rate wireless communication: Performance criterion and code construction,”
    IEEE Trans. Inform. Theory, vol. 44, pp. 744-765, Mar. 1998.
    [9] S. M. Alamouti, “ A simple transmit diversity techniques for wireless communications,”
    IEEE J. Select. Areas Commum., vol. 16, pp. 1451-1458, Oct.
    1998.
    [10] G. G. Raleigh and J. M. Cioffi, “Spatio-temporal coding for wireless communications,”
    IEEE Trans. Wireless Commun., vol.46, no.3, pp.357-366, Mar.
    1998.
    [11] L. Zhao and V.K. Dubey, “Transmit diversity and combining scheme for
    spatial multiplexing over correlated channels,” in Proc. Veh. Technol. conf.,
    Spring 2004.
    [12] J. G. Proakis, Digital Communication. 3rd Edition, McGraw-Hill, 1995.
    [13] K. S. Schneider, “Optimum detection for code division multiplexed signals,”
    IEEE Trans., vol.15, pp.181-185, Jan. 1979.
    [14] S. Buzzi, M. Lops, and A. M. Tulino, “A new family of MMSE multiuser
    receivers for interference suppression in DS/CDMA systems employing BPSK
    modulation,” IEEE Trans. Wireless Commun., vol.49, pp.154-167, Jan. 2001.
    [15] O. L. Frost, III, “An algorithm for linearly constrained adaptive array processing,”
    Processing of the IEEE, vol. 60, no. 8, pp. 926-935, Aug. 1972.
    [16] L. J. Griffiths and C. W. Jim, “An alternative approach to linear constrained
    adaptive beamforming,” IEEE Trans. Antennas and Propagat., vol. AP-30,
    no. 1, pp. 27-34, Jan. 1982
    [17] J. B. Schodorf and D. B. Williams, “A constrained optimization approach to
    multiuser detection,” IEEE Trans. Signal Process., vol. 87 no. 1, pp. 258-262,
    Jan. 1997.
    [18] K. C. Lai and J. J. Shynk, “Performance evaluation of a generalized linear
    SIC for DS/CDMA signals,” IEEE Trans. Signal Proc., vol.51, pp.1604-1614,
    June. 2003.
    [19] V. K. Grag and A. Seshadri, “Performance improvement in wireless system
    due to parallel interference cancellation(PIC) algorithm, in ”Proc. IEEE
    PWC., pp.243-249, Dec. 2002.
    [20] P. W. Wolniansky, G. J. Foschhini, G. D. Golden, and R. A. Valenzuela,
    “VBLAST: Architecture for Realizing Very High Data Rates Over the Rich-
    Scattering Wireless channel,” in Proc. ISSSE-98, Pisa, Italy, Sep. 1998.
    [21] Y. Lee and W.-R. Wu, “Adaptive two-stage GSC-based PIC detection for
    time-varying MIMO channels,” IEEE Trans. Wireless Communications.,
    vol.7, no.4, pp. 1105-1110, Apr. 2008.
    [22] L. Zhao and V.K. Dubey, “Detection schemes for space-time block code and
    spatial multiplexing combined system,” IEEE commun. Lett., vol. 9, no. 1,
    pp. 49-51, Jan. 2005.
    [23] L. Dai, S. Sfar, and K. B. Letaief, “An efficient detector for combined spacetime
    coding and layered processing,” IEEE Trans. on Commun., vol. 53, no.
    9, pp. 1438-1442, Sep. 2005.
    [24] X.-N. Tran, H.-C. Ho, T. Fujino, and Y. Karasawa, “Performance comparison
    of detection methods for combined STBC and SM systems,” IEICE Trans.
    Commun., vol. 91, No. 6, pp. 1734-1742, Jun. 2008.
    [25] J.-L. Yu, “A low-complexity two-stage receiver for space-time block coded
    CDMA MIMO systems,” Signal Processing, vol. 87, no. 7, pp. 1626-1641,
    Jan. 2007.
    [26] D. Shiu et al., “Fading correlation and its effect on the capacity of multielement
    antenna systems,” IEEE Trans. Commun., vol. 48, pp. 502-513, Mar.
    2000.
    [27] T. S. Rappaport, Wireless Communication Princiles and Practice. 2thed,
    Prentice Hall PTR, 2002.
    [28] G. H. Golub and C. F. Van Loan, Matrix Computations. Baltimore, MD:The
    Johns Hopkins Univ. Press, 2002.
    [29] E. A. Fain and M. K. Varanasi, “Diversity order gain for narrow-band multiuser
    communications with pre-combining group detection,” IEEE Trans. on
    Commun., vol. 48, no. 4, pp. 533-536, Apr. 2000.
    [30] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a
    fading environment when using multiple antennas,” Wireless Personal Communications,
    vol. 6, pp. 311-335, 1998.
    [31] X. Wang and H. V. Poor, Wireless Communication Systems. Pearson edu.,
    Inc., NJ, 2004.
    [32] H.-Y. Lu, W. H. Fang, Y.-T. Chen, and K. L. Yeh, “Heterogenous information
    aided semiblind group MUD for MIMO MC-CDMA system,” in Proc Veh.
    Technol. conf., pp. 730-734, Oct. 2007.
    [33] X. Wang and H. V. Poor, “Iterative (Turbo) soft interference cancellation
    and decoding for coded CDMA,” IEEE Trans. commun., vol. 47, no.7, pp.
    1045-1061, July. 1999.

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