Adaptive correction and estimation of the dynamic measurement error in the sensor input signal restoration

• Published in: Measurement. Sensors Vol. 38; p. 101734
• Main Authors: Volosnikov, Andrei S., Shestakov, Alexander L.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.05.2025
• ISSN: 2665-9174; 2665-9174
• DOI: 10.1016/j.measen.2024.101734

A problem of the dynamic measurement error estimation and correction is considered. The subject of the present work is to study the adaptive filtering theory approaches in application to the problem of the dynamic measurement error estimation and correction. The adaptive measuring system based on adaptive line enhancer is developed. Correction of the dynamic error is achieved by simultaneous restoring and filtering of the sensor input signal being measured. Signal processing consists in determining of the low-pass FIR-filter optimal impulse response by the standard deviation minimization of the dynamic measurement error estimation. A constrained Least-Mean-Squares algorithm is implemented to the FIR-filter impulse response self-adjustment. The efficiency of the algorithm considered is confirmed by the results of computer simulation and experimental data processing for the dynamic temperature measurement.