A study of fusion blind equalization based on DD and CMA
Dong Yu-hua · Shengxue jishu · 2008
Combined the virtues of DD and CMA,a fusion blind equalization algorithm based on DD and CMA has been proposed.Convergence rate of DD algorithm is fast,but it requires eye pattern of received signal open at the beginning.Whereas CMA has steady performance,the convergence rate is slow. So weighting and fusing the transient errors of the received signal obtained by DD and CMA,and then using the weighted transient errors to update equalizer weight coefficient can be a better solution. Simulation results indicate that fusion blind equalization algorithm provides higher convergence rate and better performance.