Convergence properties of self-organizing maps applied for communication channel equalization

Author

Abdulkader, Hasan ; Ibnkahla, Mohamed

Author_Institution

Nat. Polytech. Inst. of Toulouse, Toulouse, France

Volume

6

fYear

2000

fDate

6/22/1905 12:00:00 AM

Firstpage

3502

Abstract

This paper studies the convergence properties of a self-organizing map (SOM) equalizer. The transmitted signal is assumed to be a 4-QAM signal corrupted by an additive white Gaussian noise (AWGN). Several theoretical results such as map ordering and stability conditions are given. These results show a good fit with computer simulations

Keywords

AWGN; convergence of numerical methods; digital communication; equalisers; learning (artificial intelligence); quadrature amplitude modulation; self-organising feature maps; stability; 4-QAM signal; AWGN; SOM equalizer; additive white Gaussian noise; communication channel equalization; computer simulations; convergence properties; digital communication channels; learning algorithm; map ordering; noisy channel; self-organizing maps; stability conditions; transmitted signal; AWGN; Additive white noise; Communication channels; Convergence; Digital communication; Equalizers; Neurons; Quadrature phase shift keying; Self organizing feature maps; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.860156

Filename

860156