Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm

Wei Gao; Jie Chen; Cedric Richard

doi:10.1109/TCSII.2023.3305482

Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm

Wei Gao, Jie Chen, Cedric Richard

School of Marine Science and Technology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

The data-reuse RLS (DR-RLS) algorithm is a computationally efficient technique that has been recently introduced to improve the tracking capabilities of the RLS. Nevertheless, no analysis of its convergence has been proposed so far. The aim of that work is to fill this gap with theoretical analyzes in the sense of the mean and mean-square error. Both transient and steady-state analytical models are provided. Their effectiveness and accuracy are validated through numerical simulations.

Original language	English
Pages (from-to)	490-494
Number of pages	5
Journal	IEEE Transactions on Circuits and Systems II: Express Briefs
Volume	71
Issue number	1
DOIs	https://doi.org/10.1109/TCSII.2023.3305482
State	Published - 1 Jan 2024

Keywords

Adaptive filtering
RLS algorithm
data-reuse
steady-state analysis
transient convergence analysis

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10.1109/TCSII.2023.3305482

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abstract = "The data-reuse RLS (DR-RLS) algorithm is a computationally efficient technique that has been recently introduced to improve the tracking capabilities of the RLS. Nevertheless, no analysis of its convergence has been proposed so far. The aim of that work is to fill this gap with theoretical analyzes in the sense of the mean and mean-square error. Both transient and steady-state analytical models are provided. Their effectiveness and accuracy are validated through numerical simulations.",

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KW - steady-state analysis

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Theoretical Analysis of the Performance of the Data-Reuse RLS Algorithm

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Keywords

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