Liu Zu-jun, Xu Hai-sheng, Wang Jie-ling, Yi Ke-chu. A Novel Hybrid Blind Channel Equalization Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1606-1609. doi: 10.3724/SP.J.1146.2008.00742
Citation:
Liu Zu-jun, Xu Hai-sheng, Wang Jie-ling, Yi Ke-chu. A Novel Hybrid Blind Channel Equalization Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1606-1609. doi: 10.3724/SP.J.1146.2008.00742
Liu Zu-jun, Xu Hai-sheng, Wang Jie-ling, Yi Ke-chu. A Novel Hybrid Blind Channel Equalization Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1606-1609. doi: 10.3724/SP.J.1146.2008.00742
Citation:
Liu Zu-jun, Xu Hai-sheng, Wang Jie-ling, Yi Ke-chu. A Novel Hybrid Blind Channel Equalization Algorithm[J]. Journal of Electronics & Information Technology, 2009, 31(7): 1606-1609. doi: 10.3724/SP.J.1146.2008.00742
To improve MSE performance in steady-state and convergence rate of blind equalization, a hybrid blind channel equalization algorithm is proposed in this paper. With decision feedback equalizer, the proposed algorithm applies the error item of DD-LMS (Directed Decision-Least Mean Square) for adaptation when decision is reliable, and error item of MCMA (Modified Constant Modulus Algorithm) is applied when decision is unreliable. And the reliable interval of decision is adapted according to the errors of directed-decisions. The proposed algorithm has been simulated with 64QAM signals through severe digital wireless channel, simulation results show that the proposed algorithm has faster convergence rate and better MSE performance in stead-state than MCMA, and brings 2dB advantage when BER is 10-6.
Godard D N. Self-recovering equalization and carrier trackingin two-dimensional data communication systems[J].IEEETransactions on Communications.1980, 28(11):1867-1875[2]Tong L, Xu G, and Kailath T. Blind identification andequalization based on second-order statistics: A time domainapproach[J].IEEE Transactions on Information Theory.1994,40(2):340-349[3]Naveed A, Qureshi I M, and Hussain A, et al.. Blindequalisation of communication channels for equal energysources: Energy matching approach[J].Electronics Letters.2006,42(4):247-248[4]Pinchas M and Bobrovsky B Z. A novel HOS approach forblind channel equalization. IEEE Transactions on WirelessCommunications, 2007, 6(3): 875-886.[5]Scaglione A, Giannakis G B, and Barbarossa S. Redundantfilterbank precoders and equalizers Part II: Blind channelestimation, synchronization, and direct equalization[J].IEEETransactions on Signal Processing.1999, 47(7):2007-2022[6]He L, Admin M G, and Reed C, et al.. A hybrid adaptiveblind equalization algorithm for QAM signals in wirelesscommunications[J].IEEE Transactions on Signal Processing.2004, 52(7):2058-2069[7]Zarzoso V and Comon P. Optimal step-size constant modulusalgorithm[J].IEEE Transactions on Communications.2008,56(1):10-13[8]Goupil A and Palicot P. New algorithms for blindequalization: The constant norm algorithm family[J].IEEETransactions on Signal Processing.2007, 55(4):1436-1444[9]Picchi G and Prati G. Blind equalization and carrier recoveryusing a stop and go decision-directed algorithm[J].IEEETransactions on Communications.1987, 35(9):877-887[10]Silva M T M and Nascimento V H. Convex combination ofblind adaptive equalizers with different tracking capabilities.IEEE international conference on acoustics, speech and signalProcessing, Hawaii USA, ICASSP 2007, Vol.3: 457-460.