Dual-mode Blind Equalization Algorithm Based on Renyi Entropy and Fractional Lower Order Statistics Under Impulsive Noise
MA Jitong① QIU Tianshuang① LI Rong② XIA Nan② LI Jingchun②
①(Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, China) ②(State Radio Monitoring Center, Beijing 100037, China)
Abstract：To improve the convergence speed and noise suppression effects of blind equalizer under impulsive noise environment, a new dual-mode blind equalization algorithm based on Renyi entropy and fractional lower order statistics is presented. Renyi entropy and fractional lower order statistics are combined as cost functions to update the weight coefficients of the equalizer in this method, which can improve the convergence speed and enhance the ability of suppressing impulse noise. In addition, considering the robustness of system, a double-threshold based weighting decision method is proposed. By setting double thresholds and a nonlinear weighting function, the switching between two cost functions become smooth. Simulation experiments are carried out under different impulse noise and different channel conditions. The results show that the algorithm converges faster and suppresses impulse noise effectively at the same time.
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MA Jitong, QIU Tianshuang, LI Rong, XIA Nan, LI Jingchun. Dual-mode Blind Equalization Algorithm Based on Renyi Entropy and Fractional Lower Order Statistics Under Impulsive Noise. JEIT, 2018, 40(2): 378-385.
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