ArticleMicromachines2021
A Novel Parallel Processing Model for Noise Reduction and Temperature Compensation of MEMS Gyroscope.
Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed.
- Single-Axis Rotational Inertial Navigation Systems for USVs: A Review of Key Technologies.Micromachines · 2026Review
- A Novelty Temperature Compensation Model for Dual-Mass Vibration MEMS Gyroscope Based on Machine Learning and TTAO-VMD Algorithm.Micromachines · 2026Article
- Temperature Compensation Method for MEMS Ring Gyroscope Based on PSO-TVFEMD-SE-TFPF and FTTA-LSTM.Micromachines · 2025Article
- Range Expansion Technology for Ring MEMS Gyroscopes Based on Drive Voltage Modulation.Micromachines · 2024Article
- Thermal calibration for triaxial gyroscope of MEMS-IMU based on segmented systematic method.Scientific reports · 2024Article
- Reliability of MEMS inertial devices in mechanical and thermal environments: A review.Heliyon · 2024Review
- A Novel Temperature Drift Error Estimation Model for Capacitive MEMS Gyros Using Thermal Stress Deformation Analysis.Micromachines · 2024Article
- Research on Optical Fiber Ring Resonator Q Value and Coupling Efficiency Optimization.Micromachines · 2023Article
- Temperature Drift Compensation for Four-Mass Vibration MEMS Gyroscope Based on EMD and Hybrid Filtering Fusion Method.Micromachines · 2023Article
- High-G MEMS Accelerometer Calibration Denoising Method Based on EMD and Time-Frequency Peak Filtering.Micromachines · 2023Article
- A Novel Temperature Drift Error Precise Estimation Model for MEMS Accelerometers Using Microstructure Thermal Analysis.Micromachines · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
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 filter (MOVMD-TFPF) and Beetle antennae search algorithm- Elman neural network (BAS-Elman NN) is established. Firstly, variational mode decomposition (VMD) is optimized by multi-objective particle swarm optimization (MOPSO); then, the best decomposition parameters [
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.