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Design of Third-Order Tensorial RLS Adaptive Filtering Algorithms

Authors:
Ionut-Dorinel Ficiu
Camelia Elisei-Iliescu
Laura-Maria Dogariu
Constantin Paleologu
Cristian-Lucian Stanciu
Cristian Anghel

Keywords: adaptive filter; recursive least-squares algorithm; echo cancellation; tensor decomposition; convergence parameters

Abstract:
A recently developed Recursive Least-Squares (RLS) adaptive filter based on a Third-Order Tensor (TOT) decomposition technique, namely RLS-TOT, has proved to be efficient in system identification problems that target the estimation of long length impulse responses. This solution fits very well in echo cancellation scenarios, where the associated impulse response of the echo path can reach hundreds or even thousands of coefficients. In this short paper, we further discuss several strategies for improving the performance of RLS-TOT, focusing on its main parameters that control the convergence features.

Pages: 28 to 32

Copyright: Copyright (c) IARIA, 2024

Publication date: March 10, 2024

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-68558-142-8

Location: Athens, Greece

Dates: from March 10, 2024 to March 14, 2024