Cargando…
A Denoising Method for Fiber Optic Gyroscope Based on Variational Mode Decomposition and Beetle Swarm Antenna Search Algorithm
Fiber optic gyroscope (FOG) is one of the important components of Inertial Navigation Systems (INS). In order to improve the accuracy of the INS, it is necessary to suppress the random error of the FOG signal. In this paper, a variational mode decomposition (VMD) denoising method based on beetle swa...
Autores principales: | Wang, Pengfei, Gao, Yanbin, Wu, Menghao, Zhang, Fan, Li, Guangchun, Qin, Chao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517315/ https://www.ncbi.nlm.nih.gov/pubmed/33286537 http://dx.doi.org/10.3390/e22070765 |
Ejemplares similares
-
In-Field Calibration of Triaxial Accelerometer Based on Beetle Swarm Antenna Search Algorithm
por: Wang, Pengfei, et al.
Publicado: (2020) -
A Novel Artificial Fish Swarm Algorithm for Recalibration of Fiber Optic Gyroscope Error Parameters
por: Gao, Yanbin, et al.
Publicado: (2015) -
A Gyroscope Signal Denoising Method Based on Empirical Mode Decomposition and Signal Reconstruction
por: Liu, Chenchen, et al.
Publicado: (2019) -
Variational Mode Decomposition for Raman Spectral Denoising
por: Bian, Xihui, et al.
Publicado: (2023) -
AMA- and RWE- Based Adaptive Kalman Filter for Denoising Fiber Optic Gyroscope Drift Signal
por: Yang, Gongliu, et al.
Publicado: (2015)