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Method for extracting optical fiber gyro random error characteristics based on wavelet variance

A fiber optic gyroscope and random error technology, applied in Sagnac effect gyroscopes, etc., can solve problems such as signal instability, achieve good stability, increase algorithm speed, and extract accurate noise items

Inactive Publication Date: 2012-11-07
BEIHANG UNIV
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Problems solved by technology

[0005] The actual FOG output signal, especially the error signal under certain environmental conditions (such as space irradiation), shows instability even in a short period of time

Method used

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  • Method for extracting optical fiber gyro random error characteristics based on wavelet variance
  • Method for extracting optical fiber gyro random error characteristics based on wavelet variance
  • Method for extracting optical fiber gyro random error characteristics based on wavelet variance

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Embodiment 1

[0053] From the perspective of the space application of the fiber optic gyroscope, for the VG700CA model fiber optic gyroscope, use 60 The Co irradiation source simulates the space irradiation, and conducts the irradiation experiment of the fiber optic gyroscope. The irradiation dose increases from 0Krad to 49.95Krad at a rate of 0.9Krad / h (Krad means kilorad-radiation dose unit), and the entire irradiation test time is 55h. There are 12 groups of fiber optic gyroscope output angular velocity information, corresponding to 0Krad to 49.95Krad 12 irradiation doses in, figure 2 It shows the output signal diagram of the fiber optic gyroscope during the whole irradiation experiment.

[0054] First, the single group of collected data is carried out as follows: figure 1 The outlier processing in step 1 is shown, and then the discrete wavelet transform processing in step 2 is performed. The wavelet base function is Daubechies 4 wavelet, and the scale factor τ is selected to be 2 acc...

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Abstract

The invention discloses a method for extracting optical fiber gyro random error characteristics based on wavelet variance, comprising the following steps of: firstly carrying out an outlier eliminating process on an angle speed information xt-0 output by an optical fiber gyro, to obtain the angle speed information xt without the outliers, and then processing the xt by using a dispersed wavelet conversion to obtain a dispersed wavelet conversion coefficient dj, Tau under different decomposition scales, and then carrying out a variance process on the dj, Tau to obtain the wavelet variance Sigmax2 (Tau) from a low frequency band to a high frequency band under each scale factor Tau, and finally carrying out a double logarithmic curve fitting of the wavelet variance Sigmax2 (Tau) and the scalefactor Tau by using a random error source variance quadratic sum relationship to extract five random error coefficients including N, B, K, R and Q in the angle speed information output by the opticalfiber gyro. The invention can realize more precise analysis of the optical fiber gyro random error characteristics, thereby providing guidance for improving the performance design of the optical fiber gyro and compensating the random errors.

Description

technical field [0001] The invention relates to an angular velocity information x output by an optical fiber gyroscope t-0 The extraction method of the performance parameters, more specifically, refers to a method of using the wavelet variance method to analyze the angular velocity information x t-0 After processing, the five random error coefficients (N, B, K, R, Q) of the fiber optic gyroscope are obtained, and the performance of the fiber optic gyroscope in the working environment can be evaluated according to these five random error coefficients. Background technique [0002] Fiber optic gyroscope (FOG) is a new generation of inertial components with great development prospects. Random error is a key factor affecting the accuracy of fiber optic gyroscope. The random error of FOG mainly includes five noise items including quantization noise, angle random walk, bias instability, rate random walk and rate ramp. [0003] The traditional method for analyzing the frequency s...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01C19/72
Inventor 宋凝芳陈婧金靖李敏张晨
Owner BEIHANG UNIV
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