Enhancing FOG Temperature Compensation using LSTM Method
Author:
Affiliation:
1. College of Artificial Intelligence, Nankai University,Tianjin,P. R. China,300071
2. College of Intelligent Systems Science and Engineering, Harbin Engineering University,Harbin,P. R. China,150001
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10239690/10239711/10240972.pdf?arnumber=10240972
Reference16 articles.
1. A LSTM-RNN-Based Fiber Optic Gyroscope Drift Compen-sation;mao;Mathematical Problems in Engineering,2021
2. A Real-time Thermal Compensation Method for a MEMS Accelerom-eter Based on SRU Neural Network;gangqiang;2022 IEEE 6th Advanced Information Technology Electronic and Automation Control Conference (IAEAC),0
3. Comprehensive Compensation of Zero Drift and Scale Factor of Closed-loop Fiber Optic Gyroscope;liang;Instru-ment Technique and Sensor,2014
4. Temperature Compensation of Fiber Optic Gyroscope Based on GA-BP Neural Network;chun-lei;Instrument Technique and Sensor,2018
5. Improved VMD-ELM Algorithm for MEMS Gyroscope of Temperature Compensation Model Based on CNN-LSTM and PSO-SVM
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