Method for separating vibration signal blind sources under strong noise environment

A blind source separation, vibration signal technology, applied in transmission noise suppression, shaping network in transmitter/receiver, electrical components, etc., can solve problems such as algorithm failure, achieve fast convergence speed, good separation effect, separation effect stable effect

Active Publication Date: 2010-06-09
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Application Information

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Problems solved by technology

However, in the wavelet denoising method, the selection of the threshold is

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  • Method for separating vibration signal blind sources under strong noise environment
  • Method for separating vibration signal blind sources under strong noise environment
  • Method for separating vibration signal blind sources under strong noise environment

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[0042] Below in conjunction with accompanying drawing, the technical scheme of invention is described in detail:

[0043] The implementation of the present invention is further described in conjunction with the accompanying drawings. figure 1 It is a flow chart of the method of the present invention, such as figure 1 As shown, the algorithm includes the following four steps.

[0044] Step 1: For a given set of noise-containing mixed signals, first perform autocorrelation processing on the mixed signals, and then remove the part of the autocorrelation-processed signal at zero delay and near the maximum delay to achieve the quadratic Noise reduction to obtain the noise-reduced mixed signal. Specifically:

[0045] The noise-containing aliasing signal is denoised by the autocorrelation noise reduction method, and the autocorrelation function of the signal x(t) is defined as:

[0046] R x ( τ ) ...

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Abstract

The invention discloses an algorithm for separating vibration signal blind sources under a strong noise environment. The method comprises the following steps: 1, de-noising a group of given mixed signals containing noise through a time delay autocorrelation method to acquire de-noised mixed signals; 2, performing mean value removal and steady whitening pretreatment on the mixed signals acquired in the first step to further reduce the influence of the noise signals on the separation result; and 3, calculating second-order and fourth-order cumulated amount of the initial separate signals, using the sum of diagonal elements of second-order and fourth-order cumulated amount matrixes as a cost function, and maximizing the cost function to similarly diagonalize the joints of the cumulated amount matrixes so as to realize the separation of the signals of the independent sources and acquire orthogonal separation matrixes. The method combines the conventional de-noising method and the blind separation algorithm to realize the separation of the mixed signals under the strong noise environment, and has the advantages of good separation effect, high convergence rate and de-noising effect free from the limitation of the set threshold value compared with the conventional algorithm.

Description

technical field [0001] The invention relates to a separation technology of aliasing vibration signals, in particular to a separation technology of aliasing vibration signals in a strong noise environment. Background technique [0002] Blind separation of aliased vibration signals in a strong noise environment, because it is closer to the actual situation, is an important signal processing method for identifying vibration source signals and weak signals, and has become the research focus of relevant scientific research institutions and scholars from various countries. [0003] Most of the existing methods are based on the fact that when the noise is neglected, the separation of the instantaneous aliasing signal can be achieved by optimizing the independence criterion with the optimization method. As a signal with a time structure, the vibration signal can usually use the sum of squares of the diagonal elements of the second-order cumulant matrix as a cost function, and optimi...

Claims

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Application Information

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IPC IPC(8): H04B15/00H04L25/03
Inventor 李舜酩雷衍斌鲍庆勇
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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