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A blind source separation method for multi-submarine signature signals in marine environment

A characteristic signal and blind source separation technology, applied in the direction of instrumentation, calculation, character and pattern recognition, etc., can solve the problems of low operation efficiency and complicated signal separation process, and achieve the effect of improving operation efficiency and simplifying complexity

Active Publication Date: 2020-06-23
XIAMEN UNIV
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Problems solved by technology

In addition, the above algorithm needs to estimate any mixed signal matrix or source position in the mask estimation, which makes the signal separation process relatively complicated and the operation efficiency is not high

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  • A blind source separation method for multi-submarine signature signals in marine environment
  • A blind source separation method for multi-submarine signature signals in marine environment
  • A blind source separation method for multi-submarine signature signals in marine environment

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Embodiment 1

[0031] see figure 1 , the invention discloses a method for blind source separation of characteristic signals of multiple submarines in a marine environment, comprising the following steps:

[0032] S1. Collect mixed signal samples.

[0033] S2. In the time-frequency domain, based on the sample vector and reference vector of the Hermitian (Hermitian matrix) angle, the clustering algorithm is used to cluster the mixed signal samples to obtain multiple clusters, and the membership function in the clustering algorithm is used as mask. The clustering algorithm adopts K-means clustering or fuzzy C-means clustering algorithm.

[0034] S3. Perform cluster verification based on the estimated number of clusters.

[0035] S4. Based on the K-means clustering algorithm, the masks are clustered into Q mask clusters, denoted as c q ,q=1,...Q, and satisfy D q , q=1,..., the sum of Q is the smallest, D q is the total distance between the mask and the centroid of the cluster in the qth cl...

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Abstract

The invention discloses a method for blind source separation of multi-submarine characteristic signals in a marine environment, comprising the following steps: collecting signal samples; in the time-frequency domain based on sample vectors and reference vectors of Hermitian angles, using a clustering algorithm to classify mixed signal samples Clustering is performed to obtain multiple clusters, and the membership function in the clustering algorithm is used as a mask; cluster verification is performed based on the estimated number of clusters; the mask is clustered into Q masked clusters based on the K-means clustering algorithm Class clusters; signal separation by mask estimation. The invention can solve the problem of blind source separation under the condition of underdetermination, does not need to estimate any mixed signal matrix or source position in mask estimation, simplifies the complexity of signal separation, and improves the operation efficiency.

Description

technical field [0001] The invention relates to the field of underwater acoustic signal processing, in particular to a method and system for blind source separation of characteristic signals of multiple submarines in a marine environment. Background technique [0002] There are many factors in the current blind separation algorithm. First, the blind separation algorithm is mainly used in the transient mixed form of the signal. There are relatively few blind separation algorithms in the signal convolution mixed form, which can be roughly divided into the following categories: 1) Based on the elimination of signal A signal separation network for cross-correlation between components that exploits feedback circuits to solve the problem. This algorithm has great defects in practical applications. When the scales of the signals differ greatly or the mixing matrix is ​​ill-conditioned, the separation effect is relatively poor, and even the signals cannot be separated. 2) Transform...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06K9/00
CPCG06F2218/08G06F18/23213
Inventor 孙海信王连生成垦沈艺珊蔚然王远旭陈海兰孙伟涛苗永春
Owner XIAMEN UNIV
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