Robust Memory Gradient Blind Equalization Algorithm Based on Error Sign Decision
As CMA blind equalization algorithm based on stochastic gradient descend method has slow convergence rate and big steady state residual error,a robust memory gradient blind equalization algorithm based on error sign decision was proposed.Compared with stochastic gradient algorithm,memory gradient algorithm can make full use of the iteration gradient information of current and last step to accelerate convergence speed and effectively avoid the error convergence algorithm to a certain extent.However,transient noise interference may result in inconsistent direction of current iteration gradient information and last step that may cause the algorithm unstable,if the iteration error sign decision of current and last step is consistent then adopts memory gradient stochastic gradient descent algorithm,this method can ensure the robustness of memory gradient algorithm.The computer simulation results prove the validity of the algorithm.
Blind Equalization Memory Gradient CMA Error Sign
Fangfang HAN Guoqiang XU
Urumqi Station State Radio Monitoring Center Urumqi,Xinjiang,China
国际会议
杭州
英文
2529-2532
2013-03-22（万方平台首次上网日期，不代表论文的发表时间）