Real-time Temperature Drift Compensation Method of a MEMS Accelerometer Based on Deep GRU and Optimized Monarch Butterfly Algorithm

In recent years, inertial sensors based on Micro-Electro-Mechanical Systems (MEMS) have become increasingly popular. They have been widely used in various fields due to their low cost, small size, and low power consumption. It seems that MEMS inertial sensors may eventually fully occupy the middle t...

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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Gang-Qiang, Guo, Bo, Chai, Rui-Chu, Cheng, Yun-Shuang, Wang
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometers Algorithms Artificial neural networks Compensation Deep GRU Drift Genetic algorithms Inertial navigation Inertial sensing devices MEMS accelerometer Microelectromechanical systems Micromechanical devices OMBA Power consumption Random walk Real time real-time compensation Recurrent neural networks Sensors Temperature distribution temperature drift Temperature measurement Temperature sensors
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