Noise Processing Method of MEMS Tilt Sensor Using Improved Kalman Filter Based on Quantum Particle Swarm Optimization

This paper introduces a novel approach combining quantum particle swarm optimization (QPSO) and Kalman filter to enhance the anti-noise performance of micro-electro-mechanical system (MEMS) tilt sensors, which are susceptible to external environmental noise interference, affecting their measurement...

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Bibliographic Details
Main Authors: Yutong Ge, Weizheng Ren, Kaile Yu, Yiran Zhang, Yuxiao Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10933926/
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