Zhang Xiao-ying, Wei Ji-bo . An Improved Bayesian EM Channel Estimator for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1796-1800. doi: 10.3724/SP.J.1146.2007.00095
Citation:
Zhang Xiao-ying, Wei Ji-bo . An Improved Bayesian EM Channel Estimator for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1796-1800. doi: 10.3724/SP.J.1146.2007.00095
Zhang Xiao-ying, Wei Ji-bo . An Improved Bayesian EM Channel Estimator for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1796-1800. doi: 10.3724/SP.J.1146.2007.00095
Citation:
Zhang Xiao-ying, Wei Ji-bo . An Improved Bayesian EM Channel Estimator for MIMO-OFDM Systems[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1796-1800. doi: 10.3724/SP.J.1146.2007.00095
An improved Bayesian EM channel estimator is proposed for MIMO-OFDM systems. Using the candidates list of the List Sphere Decoder (LSD) and a prior information from the decoder, the approximations of the soft decision symbols in the conventional EM channel estimator are modified. The a posteriori probabilities, the first and second moments of the soft symbol decisions are calculated more accurately. Based on the prior information of the channel measured by the initial estimation, a new Maximum A Posteriori (MAP) estimation of the channel impulse response, which considers the posteriori cross-correlation of the soft symbols, is obtained. Simulation results show that the newly proposed BEM algorithm outperforms conventional EM estimation schemes both in terms of BER and mean square estimation error.
Xie Y and Georghiades C N. Two EM-type channelestimation algorithms for OFDM with transmitter diversity[J].IEEE Trans. on Commun.2003, 51(1):106-115[2]Aldana C H, de Carvalho E, and Cioffi J M. Channelestimation for multicarrier multiple input single outputsystems using the EM algorithm[J].IEEE Trans. on SignalProcess.2003, 51(12):3280-3292[3]Zheng J and Rao B D. LDPC-coded MIMO systems withunknown block fading channels: soft MIMO detector design,channel estimation, and code optimization[J].IEEE Trans. onSignal Process.2006, 54(4):1504-1518[4]Kocian A and Fleury B. EM-based joint data detection andchannel estimation of DS-CDMA signals[J].IEEE Trans. onCommun.2003, 51(10):1709-1720[5]Kobayashi M, Boutros J, and Carie G. Successive inferencecancellation with SISO decoding and EM channel estimation[J].IEEE J. on Select. Areas Commun.2001,19(8):1450-1460[6]Guenach M, Wymeersc H, and Moeneclaey M. On channelparameter estimation in a space-time bit-interleaved-codedmodulation system for multipath DS-CDMA uplink withreceive diversity[J].IEEE Trans. on Veh. Technol.2005, 54(5):1747-1758[7]Hochwald B M and Brink S T. Achieving near-capacity on amultiple antenna channel[J].IEEE Trans. on Commun.2003,51(3):389-399[8]Li Y, Seshadri N, and Ariyavisitakul S. Channel estimationfor OFDM systems with transmitter diversity in mobilewireless channels[J].IEEE J. on Select. Areas Commun.1999,17(3):461-471[9]Jia Y, Andrieu C, Piechocki R J, and Sandell M. SGA basedsymbol detection and EM channel estimation for MIMOsystems, Proceedings of the spring 2006 IEEE SemiannualVehicular Technology Conference, Melbourne, Australia,2006: 1743-1747.[10]Feder M and Weinstein E. Parameter estimation ofsuperimposed signals using the EM algorithm[J].IEEE Trans.on Acous. Speech Signal Processing.1988, 36(4):477-489[11]Hoeher Peter. A statistical discrete time model for theWSSUS multipath channel[J].IEEE Trans. on Veh. Technol.1992, 41(4):461-468