Continuous phase modulation receiver design with artificial neural network

Author

Kilic, Ilker ; Karlik, Bekir

Author_Institution

Dept. of EEE, Dokuz Eylul Univ., Izmir, Turkey

fYear

2001

fDate

2001

Firstpage

44

Lastpage

47

Abstract

The aim of this study is to develop neural network based receiver structures for constant envelope continuous phase modulation (CPM) systems. A feedforward network computation with these back-propagation neural networks was used for this purpose. We present the simulation results of the binary system outputs for the inphase and quadrature components

Keywords

continuous phase modulation; feedforward neural nets; optical receivers; artificial neural network; back-propagation neural networks; binary system outputs; constant envelope continuous phase modulation; continuous phase modulation receiver design; feedforward network computation; inphase components; neural network based receiver structures; quadrature components; simulation results; Artificial neural networks; Computer networks; Continuous phase modulation; Electronic mail; Feedforward neural networks; Finite impulse response filter; Modulation coding; Neural networks; Phase modulation; Viterbi algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Laser and Fiber-Optical Networks Modeling, 2001. Proceedings of LFNM 2001. 3rd International Workshop on

Conference_Location

Kharkiv

Print_ISBN

0-7803-6680-8

Type

conf

DOI

10.1109/LFNM.2001.930201

Filename

930201