Underwater acoustic signal Gaussian/non-Gaussian noise suppression method based on blind source separation

Abstract

The invention discloses an underwater acoustic signal Gaussian / non-Gaussian noise suppression method based on blind source separation. The method is used for underwater acoustic communication signal denoising. Firstly, Gaussian noise is removed in advance by adopting a sparse coding theory based on underwater acoustic signal sparse characteristics, including constructing a sparse penalty functionbased on a Laplace distribution model and solving a sparse component under the condition of maximum likelihood estimation; and then based on the non-Gaussian characteristic of the underwater acousticsignal, the non-Gaussian random noise is regarded as a source signal, and based on an improved grey wolf optimization algorithm, solving the blind source separation problem of the underwater acousticsignal; and finally, a target signal is extracted based on the correlation coefficient matrix between the separated signal and the received signal, and non-Gaussian noise is removed. According to themethod, Gaussian and non-Gaussian noise in a complex underwater acoustic environment can be effectively suppressed, and the underwater acoustic signal receiving quality is improved.

Description

technical field [0001] The invention belongs to the field of underwater acoustic signal denoising, and in particular relates to a Gaussian / non-Gaussian noise suppression method for underwater acoustic signals based on blind source separation. Background technique [0002] Underwater wireless data transmission technology is the key technology for building a maritime power. Acoustic waves are currently the only information carrier that can travel long distances underwater, and are widely used in the field of underwater communications. However, when sound waves are transmitted underwater, they are affected by a large amount of complex background noise. The sources of underwater acoustic noise can be divided into two types. The first is caused by human activities, such as ship shipping, industrial activities and other machine sounds, and the second is caused by natural factors, such as rain, marine life and seismic activities. noise. [0003] A new method of underwater acoust...

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Problems solved by technology

[0004] Overall, the current underwater acoustic signal denoising methods still have problems such as incomplete denoising, high algorithm complexity, and uncertainty in the sequence of the target signal obtained.

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