Title :
A blind equalizer based on nonlinear dynamics neural networks
Author :
Riping, Liao ; Zixiang, Guo ; Suochum, F.
Author_Institution :
Inst. of Electron. Technol., Acad. Sinica, Guangzhou, China
Abstract :
Based on nonlinear dynamics theory, this article presents an artificial neural network (ANN) blind equalizer associated with its nonlinear dynamic equation and its stability conditions. Simulation results indicate that this ANN blind equalizer has a very strong tolerance of and adaptation to the time-varying high speed channel. The bit rate of its equalized channel can be as high as 10 Gbps
Keywords :
dynamics; equalisers; neural nets; nonlinear equations; recurrent neural nets; stability; time-varying channels; 10 Gbit/s; artificial neural network; bit rate; blind equalizer; equalized channel; feedback neural network; nonlinear dynamic equation; nonlinear dynamics neural networks; nonlinear dynamics theory; simulation results; stability conditions; time-varying high speed channel; Artificial neural networks; Bit rate; Blind equalizers; Circuits; Costs; Differential equations; Joining processes; Neural networks; Nonlinear equations; Satellites; Stability; Time-varying channels; Weapons;
Conference_Titel :
Communication Technology Proceedings, 1996. ICCT'96., 1996 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-2916-3
DOI :
10.1109/ICCT.1996.545031
