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Weak signal noise stripping method

A weak signal and noise technology, applied in the field of weak signal detection and weak signal noise stripping, can solve the difficulty of weak signal detection and other problems

Active Publication Date: 2020-06-12
HARBIN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Since the intensity of the noise is far greater than the useful signal, the useful signal is completely submerged by the noise, so the difficulty of weak signal detection is greater than that of ordinary signal detection

Method used

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specific Embodiment approach 1

[0058] The weak signal noise stripping method in this embodiment includes the following steps:

[0059] Step a. Determine the range of the useful signal, wherein the upper limit of the amplitude is 8, and the lower limit of the amplitude is 2;

[0060] Step b, determine the subdivision number 6 of the useful signal;

[0061] Step c, determine the cycle number 8 according to the number of digits of the signal 8;

[0062] Step d. At this time, the estimated value of the weak signal is calculated one by one from 22222222 to 88888888, and the estimated value x of the useful signal is subtracted from the interference signal [26, 37, 56, 28, 42, 56, 28, 29] n x n-1 …x 2 x 1 , get the estimated value z of the noise signal n z n-1 …z 2 z 1 , where x i =x min +(k i -1)·(x max -x min ) / N, i=1,2,...,n,k i =1,...,N+1

[0063] Step e, calculate according to the following formula

[0064]

[0065] Step f. Determine R 1 (k n ,k n-1 ,…,k 1 ) corresponds to the maximum x...

specific Embodiment approach 2

[0070] The weak signal noise stripping method in this embodiment includes the following steps:

[0071] Step a. Determine the range of the useful signal, wherein the upper limit of the amplitude is 8, and the lower limit of the amplitude is 2;

[0072] Step b, determine the subdivision number 6 of the useful signal;

[0073] Step c, determine the cycle number 8 according to the number of digits of the signal 8;

[0074] Step d. At this time, the estimated value of the weak signal is calculated one by one from 22222222 to 88888888, and the estimated value x of the useful signal is subtracted from the interference signal [26, 37, 56, 28, 42, 56, 28, 29] n x n-1 …x 2 x 1 , get the estimated value z of the noise signal n z n-1 …z 2 z 1 , where x i =x min +(k i -1)·(x max -x min ) / N, i=1,2,...,n,k i =1,...,N+1

[0075] Step e, calculate according to the following formula

[0076]

[0077] Step f. Determine R 2 (k n ,k n-1 ,…,k 1 ) is the smallest x correspond...

specific Embodiment approach 3

[0082] The weak signal noise stripping method in this embodiment includes the following steps:

[0083] Step a. Determine the range of the useful signal, wherein the upper limit of the amplitude is 8, and the lower limit of the amplitude is 2;

[0084] Step b, determine the subdivision number 6 of the useful signal;

[0085] Step c, determine the cycle number 8 according to the number of digits of the signal 8;

[0086] Step d. At this time, the estimated value of the weak signal is calculated one by one from 22222222 to 88888888, and the estimated value x of the useful signal is subtracted from the interference signal [26, 37, 56, 28, 42, 56, 28, 29] n x n-1 …x 2 x 1 , get the estimated value z of the noise signal n z n-1 …z 2 z 1 , where x i =x min +(k i -1)·(x max -x min ) / N, i=1,2,...,n,k i =1,...,N+1

[0087] Step e, calculate according to the following formula

[0088]

[0089] Step f. Determine R 3 (k n ,k n-1 ,…,k 1 ) corresponds to the maximum x ...

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Abstract

The invention discloses a weak signal noise stripping method, and belongs to the technical field of digital signal processing. According to the method, five brand-new evaluation functions are constructed; the evaluation functions can be used for evaluating the autocorrelation of useful signals. Or the cross correlation of two signals in the useful signal, the interference signal and the noise signal can be evaluated; wherein the higher the correlation is, the larger the evaluation function value is, the lower the correlation is, and the smaller the evaluation function value is, by utilizing the principle, the useful signal can be stripped from the interference signal by selecting the useful signal estimation value corresponding to the maximum or minimum evaluation function, and the simulation result shows that the stripped useful signal is close to the true value; if the correlation between the noise signal and the useful signal is further reduced, the effect of the method is more ideal.

Description

technical field [0001] The invention relates to a weak signal noise stripping method, belonging to the technical field of digital signal processing, in particular to a weak signal detection method. Background technique [0002] Weak signal detection technology has a wide range of applications in automation, electronic engineering, physics, chemistry, biomedical engineering, nuclear technology, testing technology and instruments, etc. Prepared professional knowledge. [0003] Since the intensity of the noise is much greater than the useful signal, the useful signal is completely submerged by the noise, so the detection of weak signals is more difficult than the detection of ordinary signals. [0004] With the development of digital signal processing technology, very rich algorithms have emerged for weak signal detection, and various adaptive noise cancellation are widely used, including the steepest descent method, the least mean square algorithm, and the normalized least me...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 林海军梁肇聪赵烟桥张旭辉张旭郑兆恒叶剑波
Owner HARBIN UNIV OF SCI & TECH
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