[1]宋锐,陈熙源.数字闭环光纤陀螺振动噪声处理方法[J].东南大学学报(自然科学版),2016,46(3):489-493.[doi:10.3969/j.issn.1001-0505.2016.03.006]
 Song Rui,Chen Xiyuan.Vibration noise processing method for digital closed-loop fiber optic gyroscope[J].Journal of Southeast University (Natural Science Edition),2016,46(3):489-493.[doi:10.3969/j.issn.1001-0505.2016.03.006]
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数字闭环光纤陀螺振动噪声处理方法()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
46
期数:
2016年第3期
页码:
489-493
栏目:
其他
出版日期:
2016-05-20

文章信息/Info

Title:
Vibration noise processing method for digital closed-loop fiber optic gyroscope
作者:
宋锐陈熙源
东南大学仪器科学与工程学院, 南京210096; 东南大学微惯性仪表与先进导航技术教育部重点实验室, 南京210096
Author(s):
Song Rui Chen Xiyuan
School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China
Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology of Ministry of Education, Southeast University, Nanjing 210096, China
关键词:
光纤陀螺 振动误差 核主成分分析
Keywords:
fiber optic gyroscope vibration error kernel principle component analysis
分类号:
V241.5
DOI:
10.3969/j.issn.1001-0505.2016.03.006
摘要:
为了解决数字闭环光纤陀螺在实际工程应用中易受冲击、振动等环境因素影响的问题,通过分析振动影响下陀螺输出信号特点,研究振动对光纤环的应力及信号中附加相移的影响,建立了光纤陀螺信号的振动噪声模型.首先,引入一种具有自适应能力的改进局部均值分解方法,将原信号按频率大小分解为一系列谐波信号;其次,利用核主成分分析方法,将反映振动影响的有效信号和噪声进行有效分离;然后,通过重构得到抑制了振动噪声的信号.利用线振动实验研究了光纤陀螺在车载和机载环境下的振动特性,并对采集得到的10组振动实验数据进行了分析.结果表明,处理后信号的Allan方差分析结果中量化噪声和零偏不稳定性等误差系数均减小约50%,从而有效提高了光纤陀螺在振动环境下的输出精度.
Abstract:
To solve the problem that the digital closed-loop fiber optic gyroscope(FOG)is easily affected by environmental factors such as shock, vibration and so on in practical engineering applications, the vibration noise model for the FOG signal is established based on the analysis of the output signal characteristics under the influence of vibration and the study of the effects of vibration on the stresses in the fiber coil and the additional phase in the signal. First, a modified local mean decomposition(LMD)method with self-adaptive ability is introduced to decompose the signal to a series of harmonic waves according to the frequencies. Secondly, the kernel principal component analysis(KPCA)method is used to separate the valid signal which reflects the vibration effects from noise. Then, the signal with the eliminated vibration errors is obtained after reconstruction. The vibration characteristics of the FOG in the vehicle-mounted and airborne environments are studied by the line vibration experiments, and ten groups of vibration experimental data are collected and analyzed. The results show that the error coefficients including the quantization noise and the bias instability in Allan variance analysis results of the signal after processing decrease by about 50%, thus improving effectively the output accuracy of the FOG in vibration environment.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2015-11-25.
作者简介: 宋锐(1991—),男,博士生;陈熙源(联系人),男,博士,教授,博士生导师,chxiyuan@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(51375087)、中央高校基本科研业务费专项资金资助项目、江苏省普通高校研究生科研创新计划资助项目(KYLX15_0138)、东南大学优秀博士学位论文培育基金资助项目(YBJJ1636).
引用本文: 宋锐,陈熙源.数字闭环光纤陀螺振动噪声处理方法[J].东南大学学报(自然科学版),2016,46(3):489-493. DOI:10.3969/j.issn.1001-0505.2016.03.006.
更新日期/Last Update: 2016-05-20