A Decomposition-Based RLS Algorithm with Variable Forgetting Factors

The performance of the recursive least-squares (RLS) algorithm is mainly controlled by the forgetting factor. Using a constant value of this important parameter leads to a compromise between the main performance criteria, i.e., low misadjustment versus fast tracking. In this paper, we propose a vari...

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Bibliographic Details

Published in:	2020 13th International Conference on Communications (COMM) pp. 43 - 48
Main Authors:	Elisei-Iliescu, Camelia, Paleologu, Constantin, Benesty, Jacob, Stanciu, Cristian, Anghel, Cristian, Ciochina, Silviu
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.06.2020
Subjects:	Adaptive filter Adaptive systems Approximation algorithms Convergence echo cancellation Echo cancellers Indexes Kronecker product decomposition recursive least-squares (RLS) algorithm Signal to noise ratio Steady-state variable forgetting factor
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