A Sliding Mode-based Filter for Non-stationary Signals

This paper presents a sliding mode-based filter for estimating the oscillation amplitude of non-stationary signals. The proposed algorithm makes use of the structure of sliding mode observers to ensure the estimation of the orthogonal component of a non-stationary signal, when the frequency of the trigonometric function varies over time. A stability analysis is provided to show the filter’s ability to remove the DC components, and numerical simulations illustrate its performance under noisy conditions.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043636
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
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article

A Sliding Mode-based Filter for Non-stationary Signals

Arnau Dòria‐Cerezo, Josep M. Olm, Ludovica Luciano
Non-Invasive Vital Sign Monitoring
article

A Sliding Mode-based Filter for Non-stationary Signals

Arnau Dòria‐Cerezo, Josep M. Olm, Ludovica Luciano
article en

Abstract

This paper presents a sliding mode-based filter for estimating the oscillation amplitude of non-stationary signals. The proposed algorithm makes use of the structure of sliding mode observers to ensure the estimation of the orthogonal component of a non-stationary signal, when the frequency of the trigonometric function varies over time. A stability analysis is provided to show the filter’s ability to remove the DC components, and numerical simulations illustrate its performance under noisy conditions.

Universitat Politècnica de Catalunya (ES)
Agencia Estatal de Investigación
Openalex Percentile: Top 86%
Non-Invasive Vital Sign Monitoring
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