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Improved analog circuit signal noise reduction method

An analog circuit and signal technology, applied in the field of improved analog circuit signal noise reduction, can solve problems such as poor, effective engineering practice effects of simulated signals, etc.

Active Publication Date: 2021-06-18
NAVAL AVIATION UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the common problem of these algorithms is that they are only effective for simple simulation signals and the effect of engineering practice is not good

Method used

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  • Improved analog circuit signal noise reduction method

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Experimental program
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Effect test

Embodiment 1

[0082] In order to verify the effectiveness of the method in the present invention, investigate the FM-AM signal mixed with noise as shown in the following formula: In the formula, the original signal x(t) is given by the attached figure 1 The pure signal x shown 0 (t) and attached figure 2 The SNR shown is the synthesis of 3dB Gaussian white noise n(t), and the signal waveform is as attached image 3 As shown, the sampling frequency is 1024Hz, and the simulation time is t∈[0,1].

[0083] In order to intuitively judge the quality of noise reduction, the correlation index C is introduced as a reference, and the correlation index The closer C is to 1, the closer the signal after noise reduction is to the pure signal, that is, the better the noise reduction effect.

[0084] Utilize the method in the present invention to carry out the result of denoising processing as attached Figure 4 As shown, the dimension of the filtered signal varies with the singular value sequence ...

Embodiment 2

[0095] Embodiment 1 is based on the ideal condition where the model is known and the parameters are adjustable. In practical applications, the measured signal is often unknown. In order to illustrate the application effect of the algorithm in the present invention to the actual signal, the actual signal is verified.

[0096] attached Figure 11 It is the noise reduction result of a sine wave signal with a signal-to-noise ratio of 0dB, with Figure 12-14 It is the noise reduction result of several unknown signals randomly extracted in a certain missile circuit. It can be seen that the variation trend of the dimensionality of the filtered signal in the actual measurement process is completely consistent with the simulation experiment, and the noise reduction effect is better.

Embodiment 3

[0098] This embodiment verifies the suppression effect of the method in the present invention on the modal aliasing phenomenon.

[0099] Investigate the LCD decomposition of the following signal:

[0100] x(t)=cos(60πt+sin(100πt))+nt); wherein, the signal-to-noise ratio of Gaussian white noise n(t) is 3. Decompose the LCD directly on x(t), and get as attached Figure 15 Shown decomposition result; Carry out LCD again after carrying out SVD to it with algorithm among the present invention, decomposition result is as attached Figure 16 shown.

[0101] Contrast attached Figure 15 And attached Figure 16 It can be seen that when LCD is directly performed on the noise-containing signal, each component of the original signal is separated into more ISC components; after the improved SVD noise reduction in the present invention, the number of components is reduced, and the decomposition quality is significantly improved. The modal aliasing phenomenon is significantly reduced. ...

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Abstract

The invention discloses an improved analog circuit signal noise reduction method, which comprises the following steps of S1, performing SVD noise reduction on an original signal X to obtain a non-zero singular value sequence with the number d; s2, determining an initial order i = 2; s3, performing zero setting on the first i singular values for reconstruction and inverse operation to obtain a filtered signal N'i; s4, calculating the dimension Di of the filtered signal N'i; s5, judging whether D0 is greater than or equal to Di-1 and less than or equal to Di, if so, determining that the first intersection point coordinate is an effective rank order r = i, otherwise, increasing the order r = i + 1 (i is greater than or equal to 1 and less than d-1), and repeating the steps S3-S5, wherein D0 is a noise dimension; the first intersection point satisfies {rDi-D0|<=lambda, r=min(i), 1<=i<=d}, and lambda is a calculation error; and S6, removing the filtered signal from the original signal to obtain a denoised signal, namely, when analog circuit signal data processing is carried out by utilizing SVD (Singular Value Decomposition), on the premise that noise characteristics are not changed, an effective rank order is determined by taking a singular value sequence number as an independent variable and taking the filtered signal fractal dimension as a dependent variable, so that the purpose of reasonable noise reduction is expected to be achieved, and the problem of modal aliasing phenomenon suppression is effectively solved.

Description

technical field [0001] The invention relates to the technical field of analog circuit signal processing, in particular to an improved analog circuit signal noise reduction method. Background technique [0002] With the increase of the service time of naval equipment, the failure caused by circuit components has increasingly become a key issue restricting its reliability and safety. Due to the complex structure, many analog circuits and a large number of adjustable components of some equipment, the fault diagnosis and maintenance work faces great challenges. In the fault diagnosis of this type of equipment, in addition to troubleshooting and locating the fault point, it is more important to further determine the specific value of the out-of-tolerance parameters. The purpose is to guide maintenance personnel on how to quickly locate the fault and repair the out-of-tolerance parameters. Due to the influence of complex electromagnetic environment interference, adjacent digital ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06F2218/04G06F18/23
Inventor 盛沛徐学文张广法戴勇军盖炳良郑振白玉
Owner NAVAL AVIATION UNIV
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