It is an effective method to improve the performance of inertial instrument and the accuracy of inertial navigation system by analyzing the random drift of FOG (Fiber Optic Gyro). Allan variance FOG random error analysis method, through analyze and compare Allan variance of the original data, you can correctly evaluate the gyroscope performance indicators. In this paper, we introduce the several different random error analysis method of FOG based on Allan variance, and analyze the different Allan variance of the same group by writing the program, and more, compare the three common quantities of the FOG random error model. The results show that the modified Allan variance method obviously takes a lot of time in the processing time, but the "2k" Allan variance law is calculated more quickly. In the processing effect, the modified Allan variance method can get better calculation results. In general, the "k" Allan variance method and the smooth Allan variance method are more balanced in the computational time and the computational effect. Several Allan variance methods can effectively identify the random error components of FOG, in the actual situation, according to different conditions of use to choose the appropriate treatment.
Published in | Science Discovery (Volume 5, Issue 5) |
DOI | 10.11648/j.sd.20170505.22 |
Page(s) | 375-379 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
Fiber Optic Gyro, Random Error Model, Allan Variance Eethod
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APA Style
Du Xiao Jing, Zeng Chun, Li Huai Jian. (2017). Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance. Science Discovery, 5(5), 375-379. https://doi.org/10.11648/j.sd.20170505.22
ACS Style
Du Xiao Jing; Zeng Chun; Li Huai Jian. Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance. Sci. Discov. 2017, 5(5), 375-379. doi: 10.11648/j.sd.20170505.22
AMA Style
Du Xiao Jing, Zeng Chun, Li Huai Jian. Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance. Sci Discov. 2017;5(5):375-379. doi: 10.11648/j.sd.20170505.22
@article{10.11648/j.sd.20170505.22, author = {Du Xiao Jing and Zeng Chun and Li Huai Jian}, title = {Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance}, journal = {Science Discovery}, volume = {5}, number = {5}, pages = {375-379}, doi = {10.11648/j.sd.20170505.22}, url = {https://doi.org/10.11648/j.sd.20170505.22}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20170505.22}, abstract = {It is an effective method to improve the performance of inertial instrument and the accuracy of inertial navigation system by analyzing the random drift of FOG (Fiber Optic Gyro). Allan variance FOG random error analysis method, through analyze and compare Allan variance of the original data, you can correctly evaluate the gyroscope performance indicators. In this paper, we introduce the several different random error analysis method of FOG based on Allan variance, and analyze the different Allan variance of the same group by writing the program, and more, compare the three common quantities of the FOG random error model. The results show that the modified Allan variance method obviously takes a lot of time in the processing time, but the "2k" Allan variance law is calculated more quickly. In the processing effect, the modified Allan variance method can get better calculation results. In general, the "k" Allan variance method and the smooth Allan variance method are more balanced in the computational time and the computational effect. Several Allan variance methods can effectively identify the random error components of FOG, in the actual situation, according to different conditions of use to choose the appropriate treatment.}, year = {2017} }
TY - JOUR T1 - Comparison of Random Error Analysis Methods for Fiber Optic Gyro Based on Allan Variance AU - Du Xiao Jing AU - Zeng Chun AU - Li Huai Jian Y1 - 2017/09/14 PY - 2017 N1 - https://doi.org/10.11648/j.sd.20170505.22 DO - 10.11648/j.sd.20170505.22 T2 - Science Discovery JF - Science Discovery JO - Science Discovery SP - 375 EP - 379 PB - Science Publishing Group SN - 2331-0650 UR - https://doi.org/10.11648/j.sd.20170505.22 AB - It is an effective method to improve the performance of inertial instrument and the accuracy of inertial navigation system by analyzing the random drift of FOG (Fiber Optic Gyro). Allan variance FOG random error analysis method, through analyze and compare Allan variance of the original data, you can correctly evaluate the gyroscope performance indicators. In this paper, we introduce the several different random error analysis method of FOG based on Allan variance, and analyze the different Allan variance of the same group by writing the program, and more, compare the three common quantities of the FOG random error model. The results show that the modified Allan variance method obviously takes a lot of time in the processing time, but the "2k" Allan variance law is calculated more quickly. In the processing effect, the modified Allan variance method can get better calculation results. In general, the "k" Allan variance method and the smooth Allan variance method are more balanced in the computational time and the computational effect. Several Allan variance methods can effectively identify the random error components of FOG, in the actual situation, according to different conditions of use to choose the appropriate treatment. VL - 5 IS - 5 ER -