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基于EM的聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法

張蕊萍,  張?zhí)?/a>,  龔政委

張蕊萍, 張?zhí)? 龔政委. 基于EM的聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法[J]. 電子與信息學(xué)報(bào), 2006, 28(11): 2130-2134.
引用本文: 張蕊萍, 張?zhí)? 龔政委. 基于EM的聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法[J]. 電子與信息學(xué)報(bào), 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的聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法

EM-Based Joint Channel Estimation and Data Detection Algorithm

  • 摘要: 為提高OFDM系統(tǒng)的傳輸效率，考慮正交頻分復(fù)用(OFDM)系統(tǒng)的特殊結(jié)構(gòu)，該文提出一種使用少量導(dǎo)頻的EM(Expectation Maximization)迭代信道參數(shù)估計(jì)算法。在每次迭代中不但更新信道沖激響應(yīng)而且更新噪聲方差的估計(jì)值。為進(jìn)一步提高算法的收斂速度，提出聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法。仿真結(jié)果表明，在插入較少導(dǎo)頻時(shí)，基于EM的信道估計(jì)算法仍能收斂到給定參數(shù)的信道，聯(lián)合信道參數(shù)估計(jì)和數(shù)據(jù)檢測(cè)算法迭代次數(shù)明顯減少，并且保持系統(tǒng)的誤碼率性能不變。
    Abstract: To improve transmission efficiency, Expectation Maximization(EM) based channel parameters estimation iteration algorithm is proposed, employed the special features of Orthogonal Frequency Division Multiplexing (OFDM) system. Channel impulse response is updated at each iteration, furthermore the noise variance is update also. To improve the algorithm convergence, EM-based joint channel parameters estimation and data detection algorithm is proposed. Simulation results demonstrate the proposed EM-based algorithm can converge to the case with known channel parameters with fewer pilots and the joint channel parameters estimation and data detection algorithm converges significantly fast.
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  • 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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  • 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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