Adaptive Blind Equalization Algorithm Based on MMSE
Xie Sheng-li · Jisuanji gongcheng · 2008
This paper proposes an adaptive blind equalization algorithm for Minimum Mean Squared Error(MMSE).Like RLS algorithm, the method recursively updates correlation matrix and its inversion according to the matrix inversion lemma, thus ensures convergence and is not sensitive to initialization.Unlike many subspace methods, the algorithm does not require channel order estimation and it is robust to channel order mismatch.Fast convergence and online property enable it to be used in real-time communication applications.Simulation results show that the algorithm has good performance of online equalization.