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Conference object . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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COMPARISON OF PAL2V FILTER AND KALMAN FILTER USED IN MPU6050 ACCELEROMETER GYROSCOPE SENSOR

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 18 Oct 2024 English Publisher:Zenodo
Authors: Ramos Pereira, Arthur; de Lima, Derek Antonio; Freitas de Melo, Lucas; Pasiani, Raphael; de Carvalho Jr., Arnaldo;

doi: 10.5281/zenodo.15459963 , 10.5281/zenodo.15459964

COMPARISON OF PAL2V FILTER AND KALMAN FILTER USED IN MPU6050 ACCELEROMETER GYROSCOPE SENSOR

Abstract

Many signals exhibit noise as a component that cannot be ignored; thus, a serie of methods are used with the intention of reducing it. This study compares the Kalman Filter and the PAL2V Filter based on Annotated Paraconsistent Logic using data from the MPU6050 gyroscope accelerometer. 

Keywords

Kalman Filter; PAL2V; Annotated Paraconsistent Logic; MPU6050; Simulink.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green