In Communicatong System Balancer Auto-adapted Algorithm Research

In modern communication,the inter symbol interference was considered that is transmits time the high speed data chief obstacle in the wireless communication channel. in order to overcome Intersymbol interference caused by distortion, in a communication system often use a channel Equalization of signal processing techniques. the purpose of the equalizer is enabled by using filters or other technologies to recreate the original signal, remove the effect of ISI., so as to enhance the reliability of data transmission. In the actual digital transmission system, so that the design of high-speed equalizer to keep track of time-varying channel, in which the search for high-speed adaptive algorithm is the key, so a good study of adaptive equalization algorithms and the equalizer is an important theoretical and practical significance.This article on wireless communication channel to conduct a study on the basis of elaboratethe Intersymbol interference of production and balanced, and describes the linear transverse equalizer and decision feedback equalization and maximum likelihood estimation Equalizer series, with emphasis on puot prodiction decision feedback equalization. Researches on the LMS algorithm, RLS algorithm and the CMA algorithm, and MATLAB platform in these different kinds of simulation algorithms and to study the convergence of various algorithms and steady-state and the filter length, channel distortion characteristics and their respective method of the quantitative relationship between parameters, for building a practical significance of the adaptive equalization system simulation models, to make the simulation analysis of experimental results and simulation the significance of the results. Finally, proposed that one kind of improvement's LMS algorithm and changes the length of stride CAM algorithm with revises the permanent mold algorithm, and caused it to carry on the comparison with the traditional algorithm. Explained these three algorithms have the quicker convergence rate compared to the traditional algorithm, thus enhanced the auto-adapted balancer performance.