A novel channel estimation strategy with chaotic coded signals

Author

Müller, A. ; Elmirghani, J.M.H.

Author_Institution

Sch. of Eng., Northumbria Univ., UK

Volume

5

fYear

1998

fDate

1998

Firstpage

2652

Abstract

A novel dynamic based deconvolution (DBD) algorithm is presented that can be exploited in blind channel estimation as well as in non-blind applications like echo cancellation in telephony circuits. For generating the chaotic signal the unimodal logistic map is employed while the channel is represented by an autoregressive (AR) model. The applicability is demonstrated in a speech transmission scenario using chaotic coded speech showing a modelling misadjustment improvement (MMI) of 24 dB/100 iterations which is 6 fold that obtained by the LMS for a 128 tap digital adaptive filter (DAF) using a white noise (WN) process

Keywords

autoregressive processes; chaos; deconvolution; estimation theory; iterative methods; speech coding; telecommunication channels; voice communication; AR model; DBD algorithm; autoregressive model; blind channel estimation; channel estimation strategy; chaotic coded signals; chaotic coded speech; dynamic based deconvolution algorithm; echo cancellation; iteration; modelling misadjustment improvement; nonblind applications; speech transmission; telephony circuits; unimodal logistic map; Blind equalizers; Channel estimation; Chaos; Circuits; Deconvolution; Echo cancellers; Signal generators; Speech enhancement; Speech processing; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE

Conference_Location

Sydney,NSW

Print_ISBN

0-7803-4984-9

Type

conf

DOI

10.1109/GLOCOM.1998.776467

Filename

776467