期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

OFDM系统中基于因子图的信道估计算法 被引量：2

Channel Estimation Algorithm Based on Factor Graph for OFDM System
下载PDF
导出
摘要 为提高正交频分复用(OFDM)系统的信道估计精度,根据频谱资源的无线信道特性,提出基于因子图的OFDM系统信道估计算法,包括二维联合信道估计算法和2个级联的一维信道估计算法。将时变频率选择性衰落信道建模为一阶自回归模型,使信道参数之间的交互信息近似为高斯分布,利用和积算法实现OFDM系统的联合信道估计和符号检测。仿真结果表明,该信道估计算法能够以较低的计算复杂度逼近最优的估计性能。 According to the characteristics of the wireless channel, channel estimation algorithms based on the factor graph are proposed for Orthogonal Frequency Division Multiplexing（OFDM） system to improve the precision of channel estimation and bandwidth efficiency, which include two-dimension joint channel estimation and one-dimensional channel estimation algorithm. Time-varying frequency-selective fading channels can be modeled as one order autoregressive processes and approximating messages as Gaussian distribution, a novel channel estimation and symbol detection method for OFDM system is deduced by applying sum-product algorithm on the factor graph. Simulation results show that the algorithm can achieve good performance with low computational complexity.
作者 郭艳华 郭心悦 徐伯庆
机构地区 上海理工大学光电信息与计算机工程学院
出处 《计算机工程》 CAS CSCD 2013年第3期72-76,共5页 Computer Engineering
关键词 正交频分复用 信道估计 符号检测 因子图 和积算法 Orthogonal Frequency Division Multiplexing（OFDM） channel estimation symbol detection factor graph Sum-product Algorithm（SPA）
分类号 TN911.23 [电子电信—通信与信息系统]
  • 相关文献

参考文献10

  • 1Proakis J G Digital Communication[M]. New York, USA: McGraw Hill, 1995.
  • 2Cui Tao, Tellambura C. Joint Channel Estimation and Data Detection for OFDM Systems via Sphere Decoding[C]// Proc. of IEEE Global Communications Conference. [S. 1.]: IEEE Press, 2004: 3656-3660.
  • 3居贝思,吴耀军.基于MAP算法的OFDM系统迭代信道估计[J].计算机工程,2010,36(21):123-125. 被引量：1
  • 4Jiang Fan, Becker M R, Perez L C. Time-varying Turbo Codes[J]. IEEE Communications Letters, 2004, 8(8): 529- 531.
  • 5CHEN 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
  • 6Kchischang F R, Frey B J, Loeliger H A. Factor Graphs and the Sum Product Algorithm[J]. IEEE Transactions on Information Theory, 2001, 47(2): 498-519.
  • 7Chrisitian S, Jurgen L. Estimation of Rapid Time-variant Channels for OFDM Using Wiener Filtering[C]//Proc. of IEEE International Conference on Communications. [S. 1.] IEEE Press, 2003: 2930-2935.
  • 8Li Y, Cimini L J, Sollenberger N R. Robust Channel Estimation for OFDM Systems with Rapid Dispersive Fading Channels[J]. IEEE Transactions on Communi- cations, 1998, 46(7): 902-915.
  • 9Knievel C, Shi Z, Hoeher P A. 2D Graph-based Soft Channel Estimation for MIMO-OFDM[C]//Proc. of IEEE International Conference on Communications. [S. 1.]: IEEE Press, 2010: 1-5.
  • 10Baddour K E, Beauliea N C. Autoregressive Models for Fading Channel Simulation[C]//Proc. of IEEE Global Communications Conference. [S. 1.]: IEEE Press, 2001: 1187-1192.

二级参考文献18

  • 1Jiang Fan,Becker M R,Perez L C.Time-varying Turbo Codes[J].IEEE Communications Letters.2004,8(8):529-531.
  • 2Jin Young-Kim.Performance of OFDM/CDMA System with Turbo Coding in a Multipath Fading Channel[J].IEEE Transactions on Consumer Electronics.1999,45(2):372-379.
  • 3Ahmed S,Ratnarajah T,Sellathurai M.Iterative Receivers for MIMO-OFDM and Their Convergence Behavior[J].IEEE Transactions on Vehicular Technology.2009,58(1):461-468.
  • 4Hsieh Meng-Han,Wei Che-Ho.Channel Estimation for OFDM Systems Based on Comb-type Pilot Arrangement in Frequency Selective Fading Channels[J].IEEE Transactions on Consumer Electronics.1998,44(1):217-225.
  • 5Fang Kun,Rugini L,Leus G.Low-complexity Block Turbo Equalization for OFDM Systems in Time-varying Channels[J].IEEE Transactions on Signal Processing.2008,56(11):5555-5566.
  • 6Michael T,Ralf K,Andrew C S.Turbo Equalization: Principles and New Results[J].IEEE Transactions on Communications.2002,50(5):754-767.
  • 7Huang, H,Zhang, X.D.,Wang, Y.H.Blind direct estimation of PSK symbols for zero padding OFDM in rapid channel variation cases[].IEEE Signal Processing Letters.2006
  • 8Muquet, B,de Courville, M.Blind and Semi-blind Channel Identification Methods Using Second Order Statistics for OFDM Systems[].IEEE International Con-ference on Acoustics Speech and Signal Processing.1999
  • 9Liu, J.,Chen, R.Sequential Monte Carlo methods for dynamic systems[].J Amer Statist Assoc.1998
  • 10Loeliger,H.A.An introduction to factor graphs[].IEEE Signal Processing Magzine.2004

同被引文献18

  • 1路奇,归琳,方向忠.OFDM系统信道估计方法研究[J].电视技术,2006,30(9):20-23. 被引量：2
  • 2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
  • 3宋铁成,尤肖虎,沈连丰,宋晓晋.基于导频和修正Kalman滤波的MIMO-OFDM信道估计方法[J].通信学报,2007,28(2):23-28. 被引量：12
  • 4BOLCSKEI 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.
  • 5Barhumi 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.
  • 6Liu 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.
  • 7Shin 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.
  • 8Sannadi N,Shahbazpanahi S,Gershman A B,"Blind channel estimation in orthogonally coded MIMO-OFDM systems: A semidefinite relaxation approach",.
  • 9Gao 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.
  • 10Shen 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.

引证文献2

二级引证文献2

计算机工程
2013年 第3期

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