二阶循环统计量改进RLS盲均衡算法

In this paper studed the least squares algorithm of bilnd equalization based on single-input multiple-output (SIMO) system. A new Improved RLS blind equalization algorithm based on a second-order cyclic statistics is proposed and the equalizing process is simulated.The channel output signal can have a aequence of cyclostationarity which obtained by over-sampling. Its second-order statistics contain channel phase information can be used to carry out blind channel equalization. In this paper the RLS algorithm recursively updates correlation matrix and its inversion according to the matrix inversion lemma. Precision of convergence due to the introduction of variable forgetting factor.Simulation results show that the algorithm has good equalization and precision of convergence is better.