Characterization of fiber optics gyro and noise compensation using discrete wavelet transform

dc.contributor.author	Sabat, Samrat L.
dc.contributor.author	Giribabu, N.
dc.contributor.author	Nayak, Jagannath
dc.contributor.author	Krishnaprasad, K.
dc.date.accessioned	2022-03-27T06:44:11Z
dc.date.available	2022-03-27T06:44:11Z
dc.date.issued	2009-12-01
dc.description.abstract	This paper presents quantification of different types of random errors present in the Fiber Optics Gyroscope (FOG) measured data using Allan Variance analysis and denoising of the measured data using Discrete Wavelet Transform (DWT). Allan Variance analysis is performed before and after denoising the measured data. The experimental result shows that after denoising the angle random walk is reduced and therefore sensitivity of FOG is increased. © 2009 IEEE.
dc.identifier.citation	2009 2nd International Conference on Emerging Trends in Engineering and Technology, ICETET 2009
dc.identifier.uri	10.1109/ICETET.2009.50
dc.identifier.uri	http://ieeexplore.ieee.org/document/5395438/
dc.identifier.uri	https://dspace.uohyd.ac.in/handle/1/9985
dc.subject	Allan variation technique
dc.subject	Discrete wavelet transform
dc.subject	FOG sensor
dc.title	Characterization of fiber optics gyro and noise compensation using discrete wavelet transform
dc.type	Conference Proceeding. Conference Paper
dspace.entity.type

Now showing 1 - 1 of 1