Weighted Multimodulus Blind Equalization Algorithm for High-Order QAM Signals
适合高阶QAM信号的加权多模盲均衡算法

A new weighted multimodulus blind equalization algorithm is proposed in this paper. The proposed algorithm, which combines the benefits of the MultiModulus Algorithm (MMA) and the Decision-Directed Algorithm (DDA), utilizes exponential weighted symbols of the slicer?s output to adjust the modulus in the cost function. During the equalizer tab update process, the weight term varies according to the decided symbols as well as the MSE estimation for more accurate adjustment. Analysis and simulation results demonstrate that compared with other blind equalization algorithms including MMA, the proposed algorithm provides superior performance by increasing the convergence rate and decreasing the steady-state mean square error, which is more efficient for high-order QAM signals.