Research on the tracking channel changes capacity of a quasi-Newton Constant Modulus Algorithm Based DFP Method
Feng Guang-zeng · Signal Processing · 2009
According to channel changing rate,the channel model is divided into the acute-change channel and the gradual-change channel.This paper investigates the CMA's capacity of tracking channel changes in different channel model.Aimed at the disadvantages of the original typical CMA blind equalization algorithm,this paper combining the optimization theory,propose a linearly constrained quasi-Newton constant modulus algorithm(LC-DFPCMA).The simulation results show that the proposed LC-DFPCMA algorithm can track channel changes faster than conventional LC-CMA and make convergence better as well,and its complexity is obviously less than conventional LSCMA.