Forward linear prediction (FLP) denoising method based on lifting wavelet reconstruction layer

A linear prediction and wavelet reconstruction technology, applied in the field of signal processing, can solve the problem of ineffective noise removal, difficult to achieve denoising effect, etc., to achieve the effect of improving the convergence speed, easily handling boundary problems, and reducing dispersion.

Inactive Publication Date: 2011-11-23
SOUTHEAST UNIV
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Problems solved by technology

However, when the overlap between the signal and the noise spectrum is serious, it is difficult to achieve a good denoising effect, such as 1/f r Noise is a kind of ultr

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  • Forward linear prediction (FLP) denoising method based on lifting wavelet reconstruction layer
  • Forward linear prediction (FLP) denoising method based on lifting wavelet reconstruction layer
  • Forward linear prediction (FLP) denoising method based on lifting wavelet reconstruction layer

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[0030] The realization process of the denoising method of the fiber optic gyroscope signal of the present invention is as follows figure 1 As shown, it mainly includes the following four steps:

[0031] (1): Multi-scale decomposition of fiber optic gyroscope signal using lifting wavelet

[0032] Such as figure 2 As shown, x(n) is the static output signal of the fiber optic gyroscope obtained by the data acquisition system. From the figure we can see that the decomposition process of x(n) can be divided into the following three steps:

[0033] 1. Splitting: Split the original signal x(n) into two disjoint subsets. The usual method is to divide a sequence of numbers into even-numbered sequences x e And odd sequence x 0 ,which is:

[0034] x e (n)=x(2n), x o (n)=x(2n+1)

[0035] 2. Prediction: Use the prediction operator P to generate the wavelet coefficient d(n), that is, use x e (n) to predict x o (n) The resulting error, its expression is:

[0036] d(n)=x o (n)-P(x e (n))

[0037] 3. Up...

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Abstract

The invention discloses a forward linear prediction (FLP) denoising method based on a lifting wavelet reconstruction layer. The method comprises the following steps of: performing multi-scale decomposition on an optical fiber gyro output signal by utilizing lifting wavelet; performing single branch reconstruction on decomposed approximate signals and detailed signals to acquire reconstructed approximate signals and detailed signals; denoising the decomposed approximate signals and detailed signals layer by layer by an FLP method respectively; and reconstructing the signals which are denoised layer by layer so as to obtain a final denoising result. Due to the processing method, the received signal spectrums are split into different sub-bands, denoising is performed according to different performance characteristics of available signals and noise in the sub-bands by utilizing an FLP algorithm, and a denoising accuracy can be effectively improved so as to fulfill the aim of improving a signal to noise ratio.

Description

technical field [0001] The invention belongs to signal processing in the field of inertial technology, and relates to a fiber optic gyroscope signal denoising method, in particular to a forward linear prediction (FLP) denoising algorithm based on lifting wavelet (LWT) reconstruction layer-LWT-FLP algorithm , applicable to various fiber optic gyroscopes. Background technique [0002] Fiber optic gyroscope is a new type of angular rate sensor. Compared with traditional electromechanical gyroscope, fiber optic gyroscope has no moving parts and wearing parts, so it has high reliability, long life, small size, light weight, low power consumption, large dynamic range, and fast start-up speed. It is widely used in aviation, aerospace, navigation and other fields due to its advantages of fast speed and wide frequency range. [0003] Due to the working principle, structural characteristics, production process and use environment of the fiber optic gyroscope, there are often a lot of...

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Application Information

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IPC IPC(8): G01C19/72
Inventor 陈熙源申冲
Owner SOUTHEAST UNIV
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