Angular accelerometer signal adaptive denoising method based on wavelet analysis

An angular accelerometer and wavelet analysis technology, applied in the field of signal processing, can solve the problems of decreased signal reliability, low degree of self-adaptive denoising, incapable of Kalman filter algorithm signal processing, etc., to achieve the goal of smoothing noise and improving signal-to-noise ratio Effect

Active Publication Date: 2016-06-22
BEIJING INSTITUTE OF TECHNOLOGYGY
View PDF4 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For the molecular liquid ring angular accelerometer, there is no clear system model in China, so the Kalman filter algorithm cannot be used for signal processing
However, using the commonly used mean and median filtering algorithms, even if the sliding window is adjusted, it is impossible to smooth the noise and preserve the

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Angular accelerometer signal adaptive denoising method based on wavelet analysis
  • Angular accelerometer signal adaptive denoising method based on wavelet analysis
  • Angular accelerometer signal adaptive denoising method based on wavelet analysis

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0033] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0034] refer to figure 1, this specific example adopts the following technical scheme: a kind of adaptive denoising method based on wavelet analysis, aiming at molecular liquid ring type angular accelerometer signal, its steps are: 1, carry out wavelet layered energy entropy calculation to angular accelerometer signal , to obtain the optimal number of layers M of wavelet decomposition, and perform M-layer discrete wavelet decomposition on the signal to obtain the wavelet coefficients on each decomposition scale; 2. Calculate the wavelet decomposition threshold threshold by coupling with the median filter algorithm, and use the threshold to threshold the wavelet coefficients Quantization processing; 3. Finally, use the processed wavelet coefficient...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The present invention provides an angular accelerometer signal adaptive denoising method based on wavelet analysis. Compared with a conventional wavelet analysis denoising method, the method of the present invention comprises the steps of calculating the difference quotient of the wavelet energy entropies and the energy entropies of a signal with noise and a noisy signal to determine an optimal wavelet decomposition level of the signal with noise, applying the median filtering to evaluate a noise width and a noise standard deviation, and combining a 3 sigma criterion to set a threshold value to thereby carry out the adaptive filtering. At the aspect of the threshold value selection, the method has better effects by being compared with a conventional heuristic sure criterion, a maximum and minimum value criterion and a penalty criterion. The above methods have better effects on the denoising processing of a periodic signal and a high-dynamic signal of a molecule type liquid-ring angular accelerometer.

Description

technical field [0001] The invention relates to a wavelet analysis-based adaptive denoising method for angular accelerometer signals, which belongs to the technical field of signal processing. Background technique [0002] Angular motion widely exists in various fields of sea, land, air and sky, and is one of the most basic motions in nature. In terms of the characterization of the dynamic characteristics of angular motion, angular acceleration can characterize the high-order characteristics of angular motion more directly, faster and more accurately. With the wide application of high and new technology in the military field, future warfare will face joint operations with all-round, high-intensity, and multi-category weapons. Therefore, under complex working conditions such as multiple disturbances, variable loads, and large overloads, measuring angular acceleration signals with high precision, high dynamics, and high reliability can improve the comprehensive combat effecti...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06F2218/06
Inventor 刘彤李晶王美玲
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products