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研究生: 葉政毅
Cheng-I Yeh
論文名稱: 應用於大型多輸入-多輸出系統之信號擴散法之研究
Belief propagation algorithm for large MIMO systems
指導教授: 王煥宗
Huan-Chun Wang
口試委員: 溫志宏
none
李志堅
Chih-Chien Lee
黃德振
none
林敬舜
Ching-Shun Lin
沈中安
Chung-An Shen
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: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 24
中文關鍵詞: 複雜度收斂信號擴散法多輸入多輸出
外文關鍵詞: MIMO, BP(Belief Propagation), convergence behavior, BER performance
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  • 本篇論文主要是針對於大型MIMO系統提出新的BP技術,在這新的BP中我們加入了precoding,解決傳統BP可能無法收斂與BER表現不佳的問題,模擬顯示本論文所提出的新的BP技術在BER的表現上遠遠超過其他現有文獻所提出的BP技術


    This thesis propose a novel belief propagation algorithm for large MIMO systems. Unlike the conventional BP algorithm which may not converge or provides high BER performance, the proposed algorithm based on precoding offer the near-optimal BER performance. The simulation results shows the proposed BP algorithm provide much better BER performance than the conventional one.

    第一章 序論1 第二章 系統架構與介紹3 2.1系統簡介3 第三章 現行BP技術接收機5 3.1 傳統BP5 3.2 BP with damping技術9 第四章 BP with precoding 10 第五章 模擬數據12 第六章 結論20 第七章 未來要研究之方向………………………………….21 參考文獻

    [1] S. M. Alamouti, “A simple transmitter diversity scheme for wireless
    communications,” IEEE J. Select. Areas Commun., vol. 16, pp. 1451–1458, Oct. 1998.
    [2]A. Bury, J.Egla, and J. Lindner, “Diversity comparison of spreading transforms for multicarrier spreading spectrum transmission”IEEE ,vol.51, pp.774-781,May.2003.
    [3]B.Hochwald and S.Ten Brink, “ Achieving near-capacity on a multiple-antenna channel,” submitted to IEEE Commun,vol.51,pp389-399, March, 2003.
    [4]O.damen, A. Chkeif, and J. C. Belfiore, “Lattice code decoder for space-time codes,” IEEE Trans. Commun., vol 4, pp.161-163 , May, 2000.
    [5]M. O. Demen, K. Abed-Meraim, and M.S. Lemdani, “Further results on the sphere decoder algorithm,” IEEE Trans. Info. Theory, vol 52, pp 933-953, March 2006.
    [6]E. Viterbo and J.Boutros, “A universal lattice code decoder for fading channels,” IEEE Trans. Commun., vol 45, pp1639-1642, July 1999.
    [7]J.S. Yedidia, W.T.Freeman, and Y.Weiss, “Understanding belief propagation and its generalizations,” MERL Tech Rep, June 2010.
    [8] P.Som, T.Datta, A.Chockalingam, and B.Sundar Rajan, “ improved Large-MIMO detection based on damped belief propagation” In Proc IEEE ,ITW 2010.
    [9] M.Pretti, “ A message passing algorithm with damping,” Jl. Stat.Mech. Theory and Practice, November 2005.
    [10] J.S. Yedidia, W.T. Freeman, and Y.Weiss, “Understanding belief propagation and its generalizations,” MERL Tech Rep.TR-2001-22, January 2002.
    [11] J.M. Mooij, “Understanding and Improving Belief Propagation”, Ph.D Thesis, Radboud University Nijmegen ,IEEE, vol 50,pp1097-1114 May 2008.
    [12] Madhekar Suneel, Pritam Som, A. Chockalingam, and B.Sundar Rajan, “Belief propagation based decoding of large non-orthogonal STBCs” In Proc IEEE ISIT’2009, Seoul, June-July 2009.
    [13] Pedro F.Felzenszwalb and Daniel P.Hutterlocher, “Efficient belief propagation for early vision” In Proc IEEE ISIT’, vol 1, pp I-261-I-268,2003.
    [14] C. Barnes, E. Shechtman, A. Finkelstein, and D. B. Goldman. PatchMatch: “A randomized correspondence algorithm for structural image editing”. ACM Transactions on Graphics (Proc. SIGGRAPH), 28(3), pp1-8,August 2009.
    [15] C. Barnes, E. Shechtman, D. B. Goldman, and A. Finkelstein. “The generalized PatchMatch correspondence algorithm”. In Proc. ECCV,vol1,pp364-367, 2010

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