SUB-CMOE blind equalization algorithm using second-order statistics and being based on Cyclostationarity theory
Li Dengao · Jisuanji gongcheng yu sheji · 2008
A new blind equalization algorithm using second-order statistics and being based on Cyclostationarity theory is proposed.The equalization of the single input multiple output system which can be obtained by fractionally spaced sampling.Discussions on the traditional constrained minimum output energy algorithm are only in ideal condition without considering the effect of noise.But noise is everywhere.Noise is eliminated using subspace,so constrained minimum output energy algorithm can work in bad condition.Results of the simulation show that the new algorithm overcomes the effect of noise and has faster convergence speed.