布里渊光纤环形激光器与布里渊光纤陀螺

布里渊光纤环形激光器具有增益方向性敏感、超窄线宽等极为鲜明的特点,在高精度传感、激光测量等领域具有很大的应用潜力。基于同腔布里渊光纤环形激光器的布里渊光纤陀螺（BFOG）以其灵敏度高、可靠性好等显著优势已成为下一代光纤陀螺的重要发展方向。介绍布里渊光纤环形激光器的工作原理并对BFOG的研究进展作以综述,指出其应用研究中急需突破的技术问题。     

光纤陀螺技术的军事应用及前景

介绍了光纤陀螺的原理及种类,通过将光纤陀螺与其它陀螺进行比较,总结出了光纤陀螺的优点.最后,综述了光纤陀螺在武器装备上的应用,并对光纤陀螺的应用前景作了预测.     

小波理论应用于光纤陀螺信号处理的实验研究

本文分析了小波变换的特点，并根据光纤陀螺信号零点漂移的非平稳随机性和非正态分布特性，提出了利用小波变换所具有的时频局部化优点对光纤陀螺信号漂移进行消噪处理，实验表明该方法提高了光纤陀螺的准确度，这对于光纤陀螺的实际工程应用起到积极的作用。     

再入式光纤陀螺及其信号处理系统

光纤陀螺目前已经进入工程实用化阶段,其发展向高精度、低成本和小型化方向发展.再入式光纤陀螺是一种符合光纤陀螺发展趋势的,具有光明前景的新型光纤陀螺之一.本文介绍了再入式光纤陀螺的工作原理及其信号处理系统.给出了再入式光纤陀螺仪的信号处理系统试验结果.     

光纤陀螺与精确制导

阐述了光纤陀螺和惯性导航系统的发展历史及现状 ,详细分析了光纤陀螺产品在惯性导航系统中的地位 .同时对惯性导航系统的两大支撑技术——加速度计和全球定位系统 ( GPS)及其应用前景进行了简要的介绍 ,并且给出了最新 HARM精确制导系统的应用实例     

小波分析在光纤陀螺信号处理中的工程应用

光纤陀螺作为敏感角速度信息的元件对其精度要求较高,仅在硬件方面提高它的精度会极大的增加成本,工程应用中不经济,而从软件设计对光纤陀螺信号进行处理以提高精度便显得尤为重要.小波分析作为一种新型时频共域滤波器,处理二维信号取得了很大的进展,而在实时处理时间信号领域成果相对较少,为此,介绍了小波分析理论并提出了小波分析对光纤陀螺信号实时处理的工程应用方法.     

GPS／FOG组合导航系统自适应滤波器设计

结合GPS姿态测量系统导航的特点和光纤陀螺敏感角速度范围宽、启动速度快的特点，提出了一种光纤陀螺辅助GPS导航的方法，采用自适应滤波技术设计了组合导航算法，并进行了大量的试验，试验结果表明，利用光纤陀螺辅助GPS导航方法可行．     

液浮陀螺动圈式组合传感器的研制

在现如今惯性器件领域中,面对激光陀螺,光纤陀螺,微机械陀螺等众多新型陀螺对的冲击,液浮陀螺若要长时间的生存下去,势必要依托其具有精度高、耐冲击、可靠性高等优点,做出相应的创新发展,提高其竞争力。因此,本文就在现有液浮陀螺的基础上,引入动圈式组合传感器,在小型化上进行研究。     

高精度光纤陀螺信号的在线建模与滤波

针对高精度光纤陀螺随机误差,在分析其一般时间序列模型的基础上,提出了一种改进型二阶自回归AR(2)模型,可以在线建立光纤陀螺随机误差模型.根据该模型,采用卡尔曼滤波算法,实现了光纤陀螺惯导系统在对准与导航过程中光纤陀螺随机误差的实时滤波.滤波结果和Allan方差分析证明,光纤陀螺信号中角随机游走、零偏不稳定性、速率随机游走、速率斜坡和量化噪声五项噪声源误差系数都小于滤波前的二分之一,有效减小了光纤陀螺随机误差,提高了光纤陀螺精度.     

基于BP神经网络的光纤陀螺仪温度建模研究

目前光纤陀螺应用广泛，但是其性能容易受到环境温度影响，从而影响到惯性导航系统的性能．光纤陀螺的温度特性具有非常复杂的非线性特点，而BP神经网络具有良好的逼近复杂非线性函数能力。使用BP神经网络建立光纤陀螺温度特性的黑箱模型，不对零漂和标度因子进行补偿，而直接对陀螺输出进行校正．经实际数据检验，该建模补偿方法比未经补偿和经过传统工程补偿方法的精度提高了两个数量级．与传统的线性模型相比较，本文基于BP神经网络建立的光纤陀螺温度模型具有补偿方法简单，精度高，通用性好等优点．     

Y波导残余强度调制对IFOG性能的影响

本文首先通过正弦波调制下干涉信号光强分析解调出光纤陀螺的输出信号,进而得出残余强度调制存在的情况下陀螺输出信号的变化情况,同时,通过分析陀螺信号的变化说明残余强度调制对光纤陀螺性能的影响与陀螺精度要求有关,精度越高,其影响越明显.其次,具体分析了数字闭环光纤陀螺受残余强度调制影响的情况下,其解调输出电压变化引起的数字阶梯高度变化,并通过残余强度调制系数与数字阶梯高度的关系式,说明了残余强度调制对光纤陀螺零偏和标度因数的影响.最后,对所得出的残余强度调制系数与光纤陀螺标度因数稳定性的关系进行了Matlab仿真,通过仿真结果,更进一步说明残余强度调制对数字闭环光纤陀螺标度因数稳定性的影响.     

Effect of thermal processes on the accuracy of precision fiber-optic inertial sensors

A mathematical model of thermal processes and temperature errors is constructed for a promising sensor to determine the angular position and angular velocity of moving objects—a fiber-optic gyroscope (FOG). Methodological, algorithmic, and program supports are developed making it possible to carry out an automatic investigation of the functioning of an FOG exposed to temperature effects. Computational experiments and computer analysis of thermal processes and thermal drift are performed for specific design versions of the FOG, and recommendations for decrease in the temperature errors of the FOG are developed.Branch of the A. A. Blagonravov Institute of Mechanical Engineering, Saratov. Translated from Inzhenerno-Fizicheskii Zhurnal, Vol. 66, No. 1, pp. 61–68, January, 1994.     

A novel intelligent strategy for improving measurement precision ofFOG

This paper discusses a neural network-based strategy for reducing the existing errors of fiber-optic gyroscope (FOG). A series-single-layer neural network, which is composed of two single-layer networks in series, is presented for eliminating random noises. This network has simpler architecture, faster learning speed, and better performance compared to conventional backpropagation (BP) networks. Accordingly after considering the characteristics of the power law noise in FOG, an advanced learning algorithm is proposed by using the increments of errors in energy function. Furthermore, a radial basis function (RBF) neural network-based method is also posed to evaluate and compensate the temperature drift of FOG. The orthogonal least squares (OLS) algorithm is applied due to its simplicity, high accuracy, and fast learning speed. The simulation results show that the series-single-layer network (SSLN) with the advanced learning algorithm provides a fast and effective way for eliminating different random noises including stable and unstable noises existing in FOG, and the RBF network-based method offers a powerful and successful procedure for evaluating and compensating the temperature drift     

Study on error calibration of fiber optic gyroscope under intense ambient temperature variation

A novel adaptive forward linear prediction (FLP) denoising algorithm and a temperature drift modeling and compensation concept based on ambient temperature change rate for fiber-optic gyroscope (FOG) are presented to calibrate the errors caused by intense ambient temperature variation. The intense ambient temperature variation will bring large temperature errors, which will degrade the performance of FOG. To analyze the temperature variation, characteristics of FOG temperature experiments are developed at first. Then the adaptive FLP denoising algorithm is employed to eliminate the noise aiming at reducing noise interference. After that, a simple modeling concept of building the compensation model between temperature drift and ambient temperature change rate is first to be given (we have not found a report of better results in any literature). The semiphysical simulation results show that the proposed method significantly reduces the noise and drift caused by intense ambient temperature variation.     

Open-loop operation experiments in a resonator fiber-optic gyro using the phase modulation spectroscopy technique

A detection system in the resonator fiber-optic gyro is set up by the phase modulation (PM) spectroscopy technique. The slope of the demodulated curve near the resonant point is found to affect the ultimate sensitivity of the gyro. To maximize the demodulated signal slope, the modulation frequency and index are optimized by the expansion of the Bessel function and optical field overlapping method. Using different PM frequencies for the light waves, the open-loop gyro output signal is observed. The modulation frequency in this PM technique is limited only by the cutoff frequency of the LiNbO3 phase modulators, which can reach several gigahertz. This detection technique and system can be applied to the resonator micro-optic gyro with a less than 10 cm long integrated optical ring.     

光纤陀螺IMU的六位置旋转现场标定新方法

针对光纤陀螺惯性测量单元(Inertial Measurement Unit,IMU)的误差系数随时间推移而变化的问题,本文提出一种光纤陀螺IMU的六位置旋转现场高精度标定新方法,该方法在使用现场将光纤陀螺IMU在六个位置上进行十二次旋转,然后根据光纤陀螺IMU的误差模型建立42个非线性输入输出方程,通过旋转积分和对称位置误差相消,消除方程中的非线性项,最终求解出陀螺标度因数、陀螺常值漂移、陀螺安装误差和加速度计常值偏置等15个误差系数.实验结果表明,该方法可在没有精密转台的现场实现光纤陀螺IMU的精确标定,其标定精度与基于精密转台的标定精度相当.     

New interferometric fiber-optic gyroscope with amplified optical feedback

A novel interferometric fiber-optic gyroscope with amplified optical feedback by an Er-doped fiber amplifier (EDFA) is proposed and theoretically investigated (the proposed gyroscope is named the feedback EDFA-FOG, FE-FOG in what follows). The FE-FOG functions like a resonant fiber-optic gyro (R-FOG) because of its multiple utilization of the Sagnac loop; however, it is completely different because a low-coherence light source is used. In addition, the gyro output signal is pulsed because the modulation frequency of the phase modulator placed in the Sagnac loop is selected to match the total round-trip time delay of the light, which includes the Sagnac-loop delay plus that of the feedback loop of the fiber amplifier. The sharpness of the output pulse can be adjusted by both the gain of an EDFA and the modulation depth of the phase modulator. When rotation occurs the peak position of the output pulse is shifted as a result of the Sagnac effect. The resolution of the rotation measurement depends on the sharpness of the output pulse. The techniques of both the open-loop and closed-loop methods are described in detail, which shows the great advantage of the proposed gyroscope over the to the conventional interferometric fiber-optical gyroscope (I-FOG).