Title :
Blind channel estimation and echo cancellation using chaotic coded signals
Author :
Müller, Andreas ; Elmirghani, Jaafar M H
Author_Institution :
Sch. of Eng., Northumbria Univ., Newcastle, UK
fDate :
3/1/1999 12:00:00 AM
Abstract :
A novel dynamic-based deconvolution (DBD) algorithm is presented that can be exploited in blind channel estimation as well as in telephony echo cancellation. Chaotic coded signals generated by the logistic map are employed while the channel is represented by an autoregressive model. The applicability is demonstrated in a speech transmission scenario using chaotic coded speech showing a modeling misadjustment improvement of 24 dB/100 iterations which is sixfold that obtained by the LMS for a 128 tap digital adaptive filter driven by ideal white Gaussian noise excitation.
Keywords :
FIR filters; adaptive filters; autoregressive processes; chaos; deconvolution; digital filters; echo suppression; filtering theory; least mean squares methods; speech coding; telecommunication channels; telephony; voice communication; FIR digital adaptive filter; LMS; autoregressive model; blind channel estimation; chaotic coded signals; chaotic coded speech; decoding; dynamic-based deconvolution algorithm; logistic map; modeling misadjustment improvement; speech transmission; telephony echo cancellation; white Gaussian noise excitation; Blind equalizers; Chaos; Deconvolution; Echo cancellers; Heuristic algorithms; Least squares approximation; Logistics; Signal generators; Speech enhancement; Telephony;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.752906
