Broadband submarine sound signal processing method of wavelet trans-dimension correlation filtering

A technology of correlation filtering and underwater acoustic signal, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of ship radiation noise interference, noise interference, etc., and achieve the effect of avoiding sampling loss and improving data processing accuracy

Inactive Publication Date: 2018-07-13
THIRD INST OF OCEANOGRAPHY STATE OCEANIC ADMINISTATION
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Problems solved by technology

However, when monitoring and processing broadband and pulsed underwater acoustic signals such as single-channel seismic and multi-channel seismic, it is faced with the interference of ba

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  • Broadband submarine sound signal processing method of wavelet trans-dimension correlation filtering
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  • Broadband submarine sound signal processing method of wavelet trans-dimension correlation filtering

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Embodiment Construction

[0029] The implementation process of the present invention will be further described below in conjunction with specific formula:

[0030] Let the maximum scale of wavelet decomposition be J. Wf(j,n) represents the discrete wavelet transform of the noisy signal f at position n on scale j, and takes the transformed values ​​of adjacent scales for correlation calculation, defined as:

[0031]

[0032] Among them, l represents the number of scales participating in the correlation operation, and j

[0033] Corr 2 (j,n)=Wf(j,n)Wf(j+1,n) (2)

[0034] where Corr 2 (j,n) is the correlation coefficient at point n on scale j.

[0035] After performing cross-scale correlation operations, for the case of scale j ≥ 3, formula (2) is expressed as:

[0036] Corr 2 (j,n)=Wf(j,n)Wf(j-k,n) (...

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Abstract

The invention discloses a broadband submarine sound signal processing method of wavelet trans-dimension correlation filtering, and relates to the submarine sound signal processing. The method comprises the following steps: static discrete wavelet transform of a measured signal; translation correction of a wavelet coefficient; wavelet coefficient feature analysis of a signal and an interfering noise; wavelet coefficient correlation analysis in different scales; selection of a filtering threshold value coefficient; and threshold filtering and reconstructing of the wavelet coefficient. The staticdiscrete wavelet transform is used, and the down-sampling is not performed on the wavelet coefficient obtained after the transform, the length of the original signal is not changed, and the samplingloss of the signal features is avoided. An offset problem of the wavelet coefficient after the wavelet decomposition is corrected, and the data processing precision is improved. A problem that a signal feature value cannot be extracted because a correlation coefficient of the neighboring scales can be weaker is solved through the wavelet coefficient trans-dimension correlation filtering. Accordingto the wavelet decomposition coefficient features of a noised-signal, the filtering threshold valve coefficient is self-adaptively selected, and problems that the filtering threshold valve can be oversize or undersize are solved.

Description

technical field [0001] The invention relates to underwater acoustic signal processing, in particular to a broadband underwater acoustic signal processing method using wavelet cross-scale correlation filtering. Background technique [0002] With the development of human civilization, the strategic position of the ocean has become increasingly prominent. Countries actively develop and utilize marine resources and space, and use various means to detect, research and develop the underwater environment of the ocean. Acoustic waves are currently the only form of energy capable of long-distance transmission in the ocean. Therefore, among numerous marine underwater detection and development equipment, acoustic wave detection is the main technical means used. [0003] Due to the wide application of sound waves in ocean exploration and development, the extraction, processing and identification of underwater acoustic signals are very important. Different types of underwater acoustic s...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06G06F2218/08
Inventor 文洪涛杨燕明
Owner THIRD INST OF OCEANOGRAPHY STATE OCEANIC ADMINISTATION
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