A new system identification method for fast echo canceler initialization

Author

Ahmed, S. Arif ; Cruz, J.R.

Author_Institution

Sharp Microelectron. Technol. Inc., Camas, WA, USA

Volume

44

Issue

2

fYear

1996

fDate

2/1/1996 12:00:00 AM

Firstpage

137

Lastpage

142

Abstract

Proposes a new recursive version of an earlier technique for fast initialization of data-driven echo cancelers (DDECs). The speed of convergence and the covariance of the estimate of the proposed technique are comparable to the recursive least squares (RLS) algorithm, however, the computational complexity is no greater than the least mean square (LMS) algorithm. Analysis of computational complexity and the estimation error is also provided. Simulation results based on both floating-point and fixed-point arithmetic illustrate a remarkable improvement in terms of speed of convergence and steady-state error over the computationally comparable LMS algorithm

Keywords

adaptive estimation; computational complexity; convergence of numerical methods; covariance analysis; digital arithmetic; echo suppression; error analysis; floating point arithmetic; interference suppression; recursive estimation; computational complexity; convergence; covariance; data-driven echo cancelers; estimation error; fast echo canceler initialization; fixed-point arithmetic; floating-point arithmetic; recursive version; steady-state error; system identification method; Computational complexity; Computational modeling; Convergence; Estimation error; Fixed-point arithmetic; Least squares approximation; Recursive estimation; Resonance light scattering; Steady-state; System identification;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.486602

Filename

486602