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基于EM的联合信道参数估计和数据检测算法

张蕊萍 张太镒 龚政委

张蕊萍, 张太镒, 龚政委. 基于EM的联合信道参数估计和数据检测算法[J]. 电子与信息学报, 2006, 28(11): 2130-2134.
引用本文: 张蕊萍, 张太镒, 龚政委. 基于EM的联合信道参数估计和数据检测算法[J]. 电子与信息学报, 2006, 28(11): 2130-2134.
Zhang Rui-ping, Zhang Tai-yi, Gong Zheng-wei. EM-Based Joint Channel Estimation and Data Detection Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2130-2134.
Citation: Zhang Rui-ping, Zhang Tai-yi, Gong Zheng-wei. EM-Based Joint Channel Estimation and Data Detection Algorithm[J]. Journal of Electronics & Information Technology, 2006, 28(11): 2130-2134.

基于EM的联合信道参数估计和数据检测算法

EM-Based Joint Channel Estimation and Data Detection Algorithm

  • 摘要: 为提高OFDM系统的传输效率,考虑正交频分复用(OFDM)系统的特殊结构,该文提出一种使用少量导频的EM(Expectation Maximization)迭代信道参数估计算法。在每次迭代中不但更新信道冲激响应而且更新噪声方差的估计值。为进一步提高算法的收敛速度,提出联合信道参数估计和数据检测算法。仿真结果表明,在插入较少导频时,基于EM的信道估计算法仍能收敛到给定参数的信道,联合信道参数估计和数据检测算法迭代次数明显减少,并且保持系统的误码率性能不变。
  • Li Ye.Pilot-symbol-aided channel estimation for OFDM in wireless systems. IEEE Trans Technol., 2000, 49(4)1207-1215[2]Van de Beek J, Edfors O, Sandell M, Wilson S K, Porjesson O B. On channel estimation in OFDM systems. IEEE Vehicular Technology Conf., Chicago, 1995: 815-819.[3]Moon J K, Choi S I. Performance of channel estimation methods for OFDM systems in a multipath fading channels. IEEbConsumerElectronics, 2000, 46(1):161-170.[4]Michail K T, Ceorgios B C. Subspace methods for blind estimation of time-varying FIR channels[J].IEEE Trans. on Signal Processing.1997, 45(12):3084-3093[5]Chang M X, Su Yu T. Blind and semiblind detections of OFDM signals in fading channels. 2004, 52(5): 744-754.[6]Muquet B, De Courville M, Duhamel P. Subspace-based blind and semi-blind channel estimation for OFDM systems[J].Trans. on Signal Processing.2002, 50(7):1699-1712[7]Cai Jun, Shen Xuemin, Mark J W. EM channel estimation algorithm for OFDM wireless communication systems. Personal, Indoor and Mobile Radio Communications, PIMRC2003, Beijing,2003: 804-808[8]Ma Xiaoqiang, Kobayashi H, Schwartz S C. EM-based channel estimation of OFDM signals. Wireless Communications and Networking Conference, WCNC2002, Orlando, 2002: 228-232.[9]Dempster A P, Laird N M, Rubin D B. Maximum likelihood estimation from incomplete data. Journal of the Royal Statistical Societ (B), 1977, 39(1): 1-38.
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出版历程
  • 收稿日期:  2005-04-11
  • 修回日期:  2005-11-22
  • 刊出日期:  2006-11-19

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