Anais do Workshop de Micro-ondas (ISSN 2675-4460)
Published October 18, 2024 | Version v1
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COMPARISON OF PAL2V FILTER AND KALMAN FILTER USED IN MPU6050 ACCELEROMETER GYROSCOPE SENSOR

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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. 

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References

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