A Novel Parallel Processing Model for Noise Reduction and Temperature Compensation of MEMS Gyroscope

To eliminate the noise and temperature drift in an Micro-Electro-Mechanical Systems (MEMS) gyroscope’s output signal for improving measurement accuracy, a parallel processing model based on Multi-objective particle swarm optimization based on variational modal decomposition-time-frequency peak filte...

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Autori principali:	Qi Cai, Fanjing Zhao, Qiang Kang, Zhaoqian Luo, Duo Hu, Jiwen Liu, Huiliang Cao
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-10-01
Serie:	Micromachines
Soggetti:	MEMS gyroscope temperature compensation multi-objective particle swarm optimization (MOPSO) variational modal decomposition (VMD) beetle antennae search algorithm (BAS) Elman neural network (Elman NN)
Accesso online:	https://www.mdpi.com/2072-666X/12/11/1285
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