Adaptive wavelet threshold MEMS gyroscope noise reduction method based on maneuvering identification

A technology of wavelet threshold and wavelet noise reduction, applied in the direction of mechanical bearing testing, etc., can solve problems affecting system resolution and stability, affecting signal processing, etc.

Active Publication Date: 2021-04-27
SHENYANG AEROSPACE UNIVERSITY
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Problems solved by technology

These interference signals will not only affect the resolution and stability of the system, but also seriously affect the further processing of the signal

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  • Adaptive wavelet threshold MEMS gyroscope noise reduction method based on maneuvering identification
  • Adaptive wavelet threshold MEMS gyroscope noise reduction method based on maneuvering identification
  • Adaptive wavelet threshold MEMS gyroscope noise reduction method based on maneuvering identification

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[0061] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present invention. Rather, they are merely examples of systems consistent with aspects of the invention as recited in the appended claims.

[0062] The present invention will be further explained below in conjunction with specific examples, but it is not intended to limit the protection scope of the present invention.

[0063] This embodiment uses Matlab R2018a to carry out simulation experiments on the adaptive wavelet threshold MEMS gyroscope noise reduction method based on motorized identification, and adopts a kind of adaptive wavelet threshold ...

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Abstract

The invention discloses an adaptive wavelet threshold MEMS gyroscope noise reduction method based on maneuvering identification. The method comprises the following steps of: S1, establishing a maneuvering action identification model according to a dynamic Bayesian network method, and determining a maneuvering action currently executed by an aircraft; S2, establishing a maneuvering overload analysis model according to an error analysis method, and determining maneuvering overload data required by an MEMS gyroscope; and S3, establishing an overload-threshold adaptive model under each maneuvering action, and determining an adaptive wavelet noise reduction curve of the aircraft under different maneuvering actions and different overloads. According to the method, maneuvering identification is taken as a characteristic, the adaptive wavelet threshold method is taken as a signal processing method, noise reduction processing of the MEMS gyroscope is realized, and it is verified that the noise reduction effect of the gyroscope is remarkably improved with the method applied.

Description

technical field [0001] The disclosure of the present invention relates to the technical field of wavelet threshold MEMS gyroscope noise reduction, in particular to an adaptive wavelet threshold MEMS gyroscope noise reduction method based on motor recognition. Background technique [0002] With the rapid development of Micro Electromechanical System (MEMS), micromechanical inertial devices based on MEMS technology have emerged. The miniaturization of inertial devices has laid a foundation for the integration and miniaturization of inertial navigation systems. MEMS gyroscopes have been widely used in personal positioning and drone navigation due to their advantages of small size, light weight, low power consumption, low cost, and fast response. Inertial measurement technology is the core of UAV inertial navigation. [0003] At present, many experts and scholars at home and abroad have conducted research on the wavelet transform noise reduction method. Several noise reduction...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/04
CPCG01M13/04
Inventor 孟光磊赵润南李树发王竹筠周铭哲田丰孙小平梁宵
Owner SHENYANG AEROSPACE UNIVERSITY
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