Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/4906
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dc.contributor翁芳標zh_TW
dc.contributor.author楊穎穆zh_TW
dc.contributor.authorYang, Ying-Muen_US
dc.contributor.other通訊工程研究所zh_TW
dc.date2013en_US
dc.date.accessioned2014-06-06T06:30:30Z-
dc.date.available2014-06-06T06:30:30Z-
dc.identifierU0005-2407201315050000en_US
dc.identifier.citation[1]Hyung G. Myung, Junsung Lim, and David J. Goodman, ‘‘Single carrier FDMA for uplink wireless transmission,’’ IEEE Vehicular Technology Magazine, vol. 1, pp-30-38, Sep 2006. [2]Qinghua Li, Guangjie Li, Wookbong Lee, Moon-il Lee, David Mazzarese, Fruno Clerckx, and Zexian Li, ‘‘MIMO Techniques in WiMAX and LTE: A feature overview,’’ IEEE Commun. Mag., vol. 48, no. 5, pp. 86-92, May 2010. [3]Hamid Jafarkhani, SPACE-TIME CODING: THEORY AND PRACTICE, Cambridge university press, 2005. [4]C. Ciochina, D. Castelain, D. Mottier and H. Sari, ‘‘Space-frequency block code for single-carrier FDMA,’’ IEEE Electronics Letters, vol. 44, no. 11, May 2008. [5]Chee-wei Tan; Calderbank, A.R., "Multiuser detection of alamouti signals," IEEE Transactions on Communications, vol.57, no.7, pp.2080,2089, July 2009 [6]H.V. Poor, “Iterative multiuser detection,” IEEE Signal Processing Magazine, vol.21, pp.81-88, Jan. 2004 [7]Tuchler, M.; Koetter, R.; Singer, A.C., "Turbo equalization: principles and new results," IEEE Transactions on Communications, vol.50, no.5, pp.754,767, May 2002 [8]Xinya Liu; Xu He; Wenjun Ren; Shaoqian Li, "Evaluation of Near MLD Algorithms in MIMO SC-FDMA System," International Conference on Wireless Communications Networking and Mobile Computing, vol., no., pp.1,4, 23-25 Sept. 2010 [9]Sellathurai, M.; Haykin, Simon, "Turbo-BLAST for wireless communications: theory and experiments," IEEE Transactions on Signal Processing, vol.50, no.10, pp.2538,2546, Oct 2002 [10]Barbero, L.G.; Ratnarajah, T.; Cowan, Colin, "A low-complexity soft-MIMO detector based on the fixed-complexity sphere decoder," IEEE International Conference on Acoustics, Speech and Signal Processing, vol., no., pp.2669,2672, March 31 2008-April 4 2008 [11]M.Siti and M.P.Fitz, "Layered orthogonal lattice detector for two transmit antenna communications," in Proc. Allerton Conf. Commun., Control, Comput., Monticello, IL, Sep. 2005. [12]Siti, M.; Fitz, M.P., "A Novel Soft-Output Layered Orthogonal Lattice Detector for Multiple Antenna Communications," IEEE International Conference on Communications, vol.4, no., pp.1686,1691, June 2006 [13]Tomasoni, A.; Siti, M.; Ferrari, M.; Bellini, S., "Low Complexity, Quasi-Optimal MIMO Detectors for Iterative Receivers," IEEE Transactions on Wireless Communications, vol.9, no.10, pp.3166,3177, October 2010 [14]Tomasoni, A.; Siti, M.; Ferrari, M.; Bellini, S., "Turbo-LORD: A MAP-Approaching Soft-Input Soft-Output Detector for Iterative MIMO Receivers," IEEE Global Telecommunications Conference, vol., no., pp.3504,3508, 26-30 Nov. 2007 [15]Tomasoni, A.; Siti, M.; Ferrari, M.; Bellini, S., " Hardware oriented, quasi-optimal detectors for iterative and non-iterative MIMO receivers," EURASIP Journal on Wireless Communications and Networking. Feb.2012 [16]S. H. Song, G. L. Chen, and K. B. Letaief, ‘‘Localized or interleaved? A tradeoff between diversity and CFO interference in multipath channels,’’ IEEE Trans. Wireless Commun., vol. 10, no. 9, pp. 2829-2834, Sep. 2011. [17]Siavash M. Alamouti, ‘‘A Simple transmit diversity technique for wireless communications,’’ IEEE J. Select. Areas Commun., vol. 16, no. 8, pp. 1451-1458, Oct. 1998. [18]D. Gesbert, M. Kountouris, R. W. Heath, Jr., C.-B. Chae, and T. Salzer, “Shifting the MIMO Paradigm: From Single User to Multiuser Communications,” IEEE Signal Processing Magazine, vol. 24, no. 5, pp. 36-46, Oct., 2007 [19]Shu Lin, and Daniel J. Costello, Error Control Coding, Pearson Prentice Hall, 2004. [20]‘‘Spatial channel model for Multiple Input Multiple Output (MIMO) simulations,’’ 3GPP, vol. TR 25.996, v. 10.0.0, Apr. 2011. [21]Tomasoni, A.; Ferrari, M.; Gatti, D.; Osnato, F.; Bellini, S., "A Low Complexity Turbo MMSE Receiver for W-LAN MIMO Systems," IEEE International Conference on Communications, vol.9, no., pp.4119,4124, June 2006 [22]Talakoub, S.; Sabeti, L.; Shahrrava, B.; Ahmadi, M., "An Improved Max-Log-MAP Algorithm for Turbo Decoding and Turbo Equalization," IEEE Transactions on Instrumentation and Measurement, vol.56, no.3, pp.1058,1063, June 2007en_US
dc.identifier.urihttp://hdl.handle.net/11455/4906-
dc.description.abstract在現今無線傳輸上,隨著多媒體服務不斷的增加需求,多輸入多輸出 (Multiple Input Multiple Output, MIMO) 的技術在通過多種標準下,以提高資料傳輸速率和穩固其鏈路。尤其在3GPP長期演進技術 (Long Term Evolution, LTE) 中,已是常用的方法。並且結合採用單載波分頻多重存取 (Single Carrier Frequency Division Multiple Access, SC-FDMA) 為其上行鏈路傳輸技術,以達到對於資料傳輸速率與系統效能的需求。因單載波分頻多重存取技術結合了正交分頻多重存取 (Orthogonal Frequency Division Multiple Access, OFDMA) 的良好特性,並且相較之下具有較低的峰值功率比 (Peak-to-Average Power Ratio, PAPR)。本篇論文主要是研究多用戶(Multiuser) 在頻率選擇衰減通道下,採用空頻區塊編碼 (Space-Frequency Block Coding, SFBC),在接收機架構上,使用階層式正交晶格偵測器 (Layered ORthogonal lattice Detector, LORD) ,以減少其搜尋複雜度,並結合渦輪碼 (Turbo Codes) 的多輸入多輸出單載波分頻多重存取系統。且利用最大事後機率 (Maximum A Posteriori, MAP) 所提供之外部資訊 (Extrinsic Information) 作為多用戶干擾消除。在不同編碼方式下,模擬本論文提出之演算法在上行鏈路的錯誤率表現。zh_TW
dc.description.abstractWith the increasing demand of multimedia services in wireless transmission nowadays, Multiple-Input Multiple-Output (MIMO) technologies are adopted in many standards to enhance the data rate and the link robustness. Among others, in 3GPP LTE (3rd Generation Partnership Project Long Term Evolution), it has been a common method. And the combination of the SC-FDMA modulation scheme for the uplink transmission scheme, to approach the demand for data transmission rates and error performance. Because of, SC-FDMA (Single Carrier Frequency Division Multiple Access) combines the desirable characteristics of OFDMA with the low PAPR (Peak-to-Average Power Ratio) of single-carrier transmission schemes. In this thesis, we using the Space Frequency block code (SFBC) applied on each transmitted block for the multiuser scenario. At receiver side, in order to reduce the search complexity, we can be used the Layered ORthogonal lattice Detector (LORD) algorithm, and combines the Turbo codes for MIMO SC-FDMA systems. Then utilize the Extrinsic Information from Maximum A Posteriori (MAP) decoder to cancel the Multiple Access Interference (MAI). Simulations for an uplink scenario assess the proposed algorithms in several situations.en_US
dc.description.tableofcontents誌 謝 i 中文摘要 ii Abstract iii Contents iv List of Figures vi List of Table ix Chapter 1 Introduction 1 Chapter 2 Background 5 2.1 Single Carrier FDMA 5 2.2 MIMO SC-FDMA systems 7 2.2.1 Spatial Diversity and Spatial Multiplexing 7 2.2.2 Multiuser MIMO 9 2.3 Turbo Codes 9 2.3.1 Convolutional Code 10 2.3.2 Interleaver 12 2.4 Spatial Channel Model (SCM) 12 Chapter 3 Multiuser Transmitter of MIMO SC-FDMA Systems 17 3.1 System Description 17 Chapter 4 Multiuser Receiver of MIMO SC-FDMA Systems 20 4.1 System Description 20 4.2 Layered ORthogonal lattice Detector (LORD) algorithm 23 4.3 Turbo-LORD algorithm 25 4.4 Iterative Multiuser Detection 26 Chapter 5 Simulation Results 29 5.1 Simulation Environment 29 5.2 Simulation Performance 30 Chapter 6 Conclusion 40 References 41zh_TW
dc.language.isoen_USen_US
dc.publisher通訊工程研究所zh_TW
dc.relation.urihttp://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-2407201315050000en_US
dc.subject單載波分頻多重存取zh_TW
dc.subjectSC-FDMAen_US
dc.subject多輸入多輸出zh_TW
dc.subject多用戶zh_TW
dc.subject空頻編碼zh_TW
dc.subject階層式正交晶格偵測器zh_TW
dc.subject渦輪碼zh_TW
dc.subjectMIMOen_US
dc.subjectMultiuseren_US
dc.subjectSFBCen_US
dc.subjectLORDen_US
dc.subjectTurbo codesen_US
dc.title適用於多輸入多輸出單載波分頻多重存取系統之迭代多用戶偵測zh_TW
dc.titleIterative Multiuser Detection for MIMO SC-FDMA Systemsen_US
dc.typeThesis and Dissertationzh_TW
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeThesis and Dissertation-
item.cerifentitytypePublications-
item.fulltextno fulltext-
item.languageiso639-1en_US-
item.grantfulltextnone-
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