Title :
Utilization of neural network signal processing in the design of a predistorter for a nonlinear telecommunication channel
Author :
Eun, Changsoo ; Powers, Edward J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
fDate :
27 Jun- 2 Jul 1994
Abstract :
In this paper, we describe the use of neural networks to implement a predistorter for a nonlinear digital telecommunication channel. Since most of the signals used in digital communication are complex, the usual neural network signal processing techniques used in system identification (which typically assume real signals) can not be utilized. Therefore, we use a complex neural network which was formerly utilized by Benvenuto et al. (1992) to design an equalizer for a nonlinear channel
Keywords :
digital communication; neural nets; signal processing; telecommunication channels; complex neural network; digital telecommunication; nonlinear telecommunication channel; predistorter; signal processing; Communication channels; Computer networks; Filters; Intelligent networks; Inverse problems; Neural networks; Nonlinear systems; Process design; Signal design; Signal processing;
Conference_Titel :
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1901-X
DOI :
10.1109/ICNN.1994.374912
