Home // IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article

A Data-Reuse Approach for the RLS-DCD Algorithm

Authors:
Ionuț-Dorinel Fîciu
Cristian-Lucian Stanciu
Camelia Elisei-Iliescu
Cristian Anghel
Constantin Paleologu

Keywords: adaptive algorithms; Data-Reuse (DR); low Signal-to-Noise Ratio; Recursive Least-Squares (RLS); Dichotomous Coordinate Descent (DCD); tracking

Abstract:
The mitigation of input signal correlation is one of the main advantages associated with the Recursive Least-Squares (RLS) algorithms. This paper proposes a low-complexity RLS adaptive algorithm based on the Dichotomous Coordinate Descent (DCD) iterations, with a Data-Reuse (DR) approach. In this way, the corresponding convergence speeds in tracking and low signal-to-noise scenarios are improved, with overall attractive costs in terms of chip areas for hardware implementations.

Pages: 85 to 86

Copyright: Copyright (c) IARIA, 2022

Publication date: July 24, 2022

Published in: conference

ISBN: 978-1-68558-017-9

Location: Nice, France

Dates: from July 24, 2022 to July 28, 2022