Channel estimation algorithm based on chaotic signals and artificial neural networks

Author

Muller, A. ; Elmirghani, J.M.H.

Author_Institution

Sch. of Eng., Northumbria Univ., Newcastle upon Tyne, UK

Volume

2

fYear

1999

fDate

1999

Firstpage

1291

Abstract

Two new chaotic based coding and decoding methods are introduced and discussed. Channel estimation is evaluated when chaotic coded sequences are employed. A speech transmission scenario using chaotic coded speech is considered and channel estimation is carried out. The results show that a modelling misadjustment improvement of 24 dB/100 iterations is achievable. This represents a 6 fold improvement compared to LMS adaptation for a 128 tap digital adaptive filter using a white noise process

Keywords

chaos; decoding; echo suppression; estimation theory; radial basis function networks; speech coding; telecommunication channels; artificial neural networks; channel estimation algorithm; chaotic based coding; chaotic based decoding; chaotic coded speech; chaotic signals; modelling misadjustment improvement; radial basis functions; speech transmission; Adaptive filters; Artificial neural networks; Channel estimation; Chaos; Chaotic communication; Dynamic programming; Echo cancellers; Least squares approximation; Noise cancellation; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 1999. ICC '99. 1999 IEEE International Conference on

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-5284-X

Type

conf

DOI

10.1109/ICC.1999.765544

Filename

765544