期刊文献+

基于FG方法的MIMO-OFDM信道估计

下载PDF
导出
摘要 为提高MIMO-OFDM系统信道估计的性能,并且提高频谱的整体利用效率,文章提出一种利用信道特性构建因子图模型,结合EM算法进行信道估计的算法。将多输入多输出(MIMO)信道估计问题转化为一系列单输入单输出(SISO)信道估计问题,避免了大规模的矩阵运算。同时将EM算法代替因子图(FactorGraph)时域方向上的迭代,提高了系统性能。仿真实验表明,文章所提的算法能有效提高系统的性能。
出处 《信息通信》 2014年第3期51-52,共2页 Information & Communications
基金 国防预研基金项目资助"B3G和4G移动通信DK技术"(41101040402)
  • 相关文献

参考文献11

  • 1BOLCSKEI H, GESBERT D, PAULRAJ A J. On the capac- ity of OFDM based spatial multiplexing systems[J]. IEEE Trans Comm, 2002, 50(2): 225 - 234.
  • 2Barhumi I, Leus G, Moonen M. Optimal training design for MIMO OFDM systems in mobile wireless channels", IEEE Transactions on Signal Processing, vol. 51, no. 6, 2003,pp. 1615-1624.
  • 3周鹏,赵春明,盛彬.MIMO-OFDM系统中基于导频辅助的信道估计[J].电子与信息学报,2007,29(1):133-137. 被引量:15
  • 4Liu H, Jiao J S, Zhang FC, Fu LN, "Channel estimating bas- ed on space-time-frequency pilot for MIMO-OFDM", Ad- vanced Materials Research,vol.429,2012, pp. 179-185.
  • 5张玲,张贤达.MIMO-OFDM系统的盲信道估计算法综述[J].电子学报,2007,35(B06):1-6. 被引量:14
  • 6Shin C, Heath J, Robert W, Powers E J, "Blind channel esti- mation for MIMO-OFDM systems",IEEE Transactions on Vehicular Technology, vol.56,no.2,2007, pp.670-685.
  • 7Sannadi N,Shahbazpanahi S,Gershman A B,"Blind channel estimation in orthogonally coded MIMO-OFDM systems: A semidefinite relaxation approach",.
  • 8Gao J, Liu H P, "Decision-directed estimation of MIMO time-varying rayleigh fading channels", IEEE Transa- ctionsonWirelessCommunications, vol. 4, no. 4,2005, pp. 1412-1417.
  • 9Shen J, Wu M Q. A MAP-based SAGE channel estimation and data detection joint algorithm for MIMO system [C]. IEEE 2nd International Conference on Software Engineer- ing and Service Science, Beijing, China, 2011,pp.82-85.
  • 10郭心悦,胡波,杨涛.MIMO系统中基于因素图的迭代信号检测算法[J].系统工程与电子技术,2009,31(7):1534-1538. 被引量:5

二级参考文献53

  • 1CHEN Rong,ZHANG Hai-bin,XU You-yun,LIU Xin-zhao.Blind receiver for OFDM systems via sequential Monte Carlo in factor graphs[J].Journal of Zhejiang University-Science A(Applied Physics & Engineering),2007,8(1):1-9. 被引量:1
  • 2Barhumi I, Leus G, and Moonen M. Optimal training design MIMO OFDM systems in mobile wireless channels[J]. IEEE for Trans. on Signal Processing, 2003, 51(6): 1615-1624.
  • 3Jakes W C. Microwave Mobile Communication[M], New York:Wiley, 1994, Chap. 6.
  • 4Paulraj A, Nabar R, and Gore D. Introduction to Space-Time Wireless Communications[M]. Cambridge: Cambridge Univ.Press, 2003, Chap. 3.
  • 5Edfors O, Sandle M, and Van D B. OFDM channel estimation by singular value decomposition[J]. IEEE Trans. on Commun., 1998, COM-46(7): 931-939.
  • 6Cimini L J, Analysis and simulation of a digital mobile channel using orthogonal frequency division multiplexing[J].IEEE Trans. on Commun., 1985, Com-33(7): 665-675.
  • 7Fonschini G J and Gans M J. on limits of wireless communications in a fading environment when using multiple anternnas[J]. Wireless Pers. Commun., 1998, 6(3): 311-335.
  • 8Proakis J G. Digital communication [M]. Englewood Cliffs N J:Prentice-Hall, 1995, Chap, 5.
  • 9Li Y, Seshadrin N, and Ariyavisitalkul S. Channel estimation for OFDM systems with transmitter diversity in mobile wireless channels[J]. IEEE J. Select, Areas Commun,, 1999,17(3): 461-471.
  • 10Minn H, Kim D, and Bhargava V. A reduced complexity channel estimation for OFDM systems with transmit diversity in mobile wireless channels[J]. IEEE Trans. on Commun., 2002, 50(5): 799-807.

共引文献30

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部