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Updated: Jul 29, 2025

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters
15:25

Design and Characterization Methodology for Efficient Wide Range Tunable MEMS Filters

Published on: February 4, 2018

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基于EMD和混合过融合方法的四质振动MEMS陀螺仪的温度偏移补偿

Zhong Li1,2, Yuchen Cui3, Yikuan Gu1,2

  • 1Shanxi Software Engineering Technology Research Center, Taiyuan 030051, China.

Micromachines
|May 27, 2023
PubMed
概括

这项研究引入了一种新的融合算法,将实证模式分解 (EMD) 与辐射基函数神经网络 (RBF NN),遗传算法 (GA) 和卡尔曼过器 (KF) 结合起来,以提高MEMS陀螺仪的准确性. 该算法有效地弥补温度漂移,显著提高陀螺仪的性能.

关键词:
卡尔曼过器可以过.经验模式分解分解四大质量振动MEMS陀螺仪,四大质量振动的陀螺仪.遗传算法是一种遗传算法.辐射基础功能神经网络神经网络温度偏移补偿 温度偏移补偿这是一个理论模拟.

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