Comparison of Pal2v Filter and Kalman Filter Used in Mpu6050 Accelerometer Gyroscope Sensor
Year: 2024
Type: conference-paper
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.
Authors: Ramos Pereira, Arthur, de Lima, Derek Antonio, Freitas de Melo, Lucas, Pasiani, Raphael, de Carvalho Jr., Arnaldo
Language: English
Subfield: Aerospace Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930721054
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