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A Weak Signal Noise Stripping Method

A weak signal and noise technology, applied in the field of weak signal detection and weak signal noise stripping, which can solve the problem of difficulty in weak signal detection.

Active Publication Date: 2022-02-08
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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  • A Weak Signal Noise Stripping Method
  • A Weak Signal Noise Stripping Method
  • A Weak Signal Noise Stripping Method

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Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0057] The weak signal noise stripping method under this embodiment includes the following steps:

[0058] 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;

[0059] Step b, determining the subdivision number 6 of the useful signal;

[0060] Step c, according to the number of digits 8 of the signal, determine the cycle number 8;

[0061] 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 noise signal estimate z 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

[0062] Step e, calculate according to the following formula

[0063]

[0064] Step f, determine R 1 (k n ,k n-1 ,...,k 1 ) corresponding to the maximum x n...

specific Embodiment approach 2

[0068] The weak signal noise stripping method under this embodiment includes the following steps:

[0069] 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;

[0070] Step b, determining the subdivision number 6 of the useful signal;

[0071] Step c, according to the number of digits 8 of the signal, determine the cycle number 8;

[0072] 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 noise signal estimate z 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

[0073] Step e, calculate according to the following formula

[0074]

[0075] Step f, determine R 2 (k n ,k n-1 ,...,k 1 ) corresponding to the minimum time ...

specific Embodiment approach 3

[0079] The weak signal noise stripping method under this embodiment includes the following steps:

[0080] 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;

[0081] Step b, determining the subdivision number 6 of the useful signal;

[0082] Step c, according to the number of digits 8 of the signal, determine the cycle number 8;

[0083] 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 noise signal estimate z 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

[0084] Step e, calculate according to the following formula

[0085]

[0086]Step f, determine R 3 (k n ,k n-1 ,...,k 1 ) corresponding to the maximum x n ...

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Abstract

A weak signal noise stripping method of the present invention belongs to the technical field of digital signal processing. The method constructs five brand-new evaluation functions, and these evaluation functions can evaluate the autocorrelation of useful signals, or can evaluate useful signals, interference signals and noises. The cross-correlation of the two signals in the signal, the higher the correlation, the larger the evaluation function value, the lower the correlation, the smaller the evaluation function value, using this principle, by selecting the useful signal estimation value corresponding to the maximum or minimum evaluation function , the useful signal can be stripped from the interference signal, and the simulation results show that the stripped useful signal is closer to the true value; if the correlation between the noise signal and the useful signal is further reduced, the effect of the method of the present invention will be more ideal .

Description

technical field [0001] The invention discloses a weak signal noise stripping method, which belongs to the technical field of digital signal processing, and in particular relates to a weak signal detection method. Background technique [0002] Weak signal detection technology is widely used 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 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. [0004] With the development of digital signal processing technology, there are also very rich algorithms for weak signal detection. The most widely used are various types of adaptive noise cancellation, including the steepest descent method, the least mean square algorithm, and the norm...

Claims

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Application Information

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Patent Type & Authority Patents(China)
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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