Blind Equalization Algorithm based on Brainstorming Algorithm
Xinfa Miao, Kai Ren · 2021 2nd International Conference on Electronics, Communications and Information Technology (CECIT) · 2021
In order to improve the ability of normal mode blind equalizer to deal with inter-code crosstalk, a blind equalization algorithm based on brainstorming algorithm is proposed. The algorithm starts with the problem of unsatisfactory initialization of the equalizer, and uses the brainstorming algorithm to quickly and accurately find the advantages of the global solution, reducing the initial mean square error of the system;on this basis, from the perspective of the convergence speed and convergence stability of the weighing instrument, the adaptive ability of the variable step error function is used to improve the equalization effect of the equalizer. Experimental results show that the new equalization algorithm can reduce the initial mean square error, accelerate the convergence speed of the equalizer, and improve the communication performance of the system.