Improved weighted multi-modulus blind equalization algorithm based on non-linear function of weighting factor
Weixuan Cui · Journal of Computer Applications · 2013
In order to improve the blind equalization performance of the weighted multimode algorithm,an improved weighted multi-modulus blind equalization algorithm based on a non-linear function of weighting factor was proposed in this paper.The new algorithm used a nonlinear relationship between the mean square error and the weighting factor to improve the speed of convergence and improve the adaptive capacity to different signal-to-noise ratio.In the converging process of the algorithm,with the mean square error decreased,the value of the weighting factor increased gradually.It adjusted the modulus value of the algorithm dynamically,and made the error model match with the signal constellation accurately to reduce the steady-state mean square error.The theoretical analysis and simulation results show that the proposed algorithm reduces the steady-state mean square error,and improves the convergence rate.