@inproceedings{9e145f51dffa47acb8454ba7c59c31a6,
title = "Open loop fiber optic gyroscope analysis based on angular random walk",
abstract = "Fiber Optic Gyroscope is an optical sensor that can determine the position of the angle of motion of an object. FOG works based on the Sagnac effect, which states that the phase shift between two opposite waves propagates in the interferometry of the rotating ring, and proportional to the angular velocity. Goodness performance indicator of measurement system, is having a small noise. Angle Random Walk is the biggest noise contribution to the error value. In this research, noise estimation from ARW has been done. OFOG performance based on ARW has been described in the ARW simulation based on photon emission and the amount of data sampling per time. The effect of ARW on performance is explained on the PDF graph. Error reduction techniques from ARW values have also been presented to improve OFOG performance. FOG measurement system was developed and experimental results were discussed in this research.",
keywords = "ARW random, FOG, OFOG, angular velocity, noise, sample",
author = "D. Anggraeni and Raharjo, {E. T.} and Priambodo, {P. S.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th International Conference on Quality in Research: International Symposium on Electrical and Computer Engineering, QiR 2017 ; Conference date: 24-07-2017 Through 27-07-2017",
year = "2017",
month = dec,
day = "5",
doi = "10.1109/QIR.2017.8168509",
language = "English",
series = "QiR 2017 - 2017 15th International Conference on Quality in Research (QiR): International Symposium on Electrical and Computer Engineering",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "347--352",
booktitle = "QiR 2017 - 2017 15th International Conference on Quality in Research (QiR)",
address = "United States",
}