Time-varying window length dynamic Allan variance analysis method on the basis of fuzzy control

Abstract

The invention discloses a time-varying window length dynamic Allan variance analysis method on the basis of fuzzy control, and belongs to the technical field of inertial navigation. In the provided method, according to the characteristics of the signals that are output by a fiber-optic gyroscope, a fuzzy controller is designed according to the primary change rate and secondary change rate of the output signals of the fiber-optic gyroscope so as to choose the window length of dynamic Allan variance, the dynamic Allan variance of the signals is calculated, and thus the effective analysis on the dynamic characteristics of the output signals of the fiber-optic gyroscope is achieved. On the basis of the technical scheme mentioned above, an algorithm performance evaluation index on the basis of a radar map is provided, and the effective evaluation on algorithm performance is achieved. The analysis method is suitable for the noise analysis of a fiber-optic gyroscope.

Description

technical field [0001] The invention belongs to the technical field of inertial navigation, and in particular relates to a dynamic noise analysis method of an optical fiber gyroscope. Background technique [0002] The fiber optic gyroscope has the advantages of high reliability, fast start-up, impact resistance, high precision, and low power consumption. It is the core component of the inertial navigation system. Affected by the processing technology and working environment, the output of the fiber optic gyroscope has a large random error, which greatly reduces the measurement accuracy of the gyroscope. Therefore, it is necessary to carefully analyze the error characteristics of the output signal of the fiber optic gyroscope, effectively identify random errors and evaluate its performance objectively and accurately. [0003] Now the commonly used fiber optic gyroscope output signal analysis method is the Allan variance analysis method, because it is not suitable for analyzi...

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Problems solved by technology

[0004] Technical problem to be solved: Aiming at the deficiencies in the prior art, the present invention proposes a time-varying window length dynamic Allan variance analysis method based on fuzzy control, which overcomes the inability of the dynamic Allan variance analysis method based on the fixed-length window function to track the dynamics of the signal in real time Featured Technical Issues

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