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Underwater acoustic communication signal modulation identification method based on feature selection and support vector machine

A technology of support vector machine and underwater acoustic communication, applied in the field of signal processing, can solve problems such as poor recognition effect, and achieve the effect of reducing information redundancy, data dimension, and redundant information

Active Publication Date: 2021-09-28
OCEAN UNIV OF CHINA
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  • Application Information

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Problems solved by technology

But when the dimensionality of the input features is low, the recognition effect is not good

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  • Underwater acoustic communication signal modulation identification method based on feature selection and support vector machine
  • Underwater acoustic communication signal modulation identification method based on feature selection and support vector machine
  • Underwater acoustic communication signal modulation identification method based on feature selection and support vector machine

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Embodiment Construction

[0020] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0021] The present invention proposes an underwater acoustic communication signal modulation recognition method based on sensitive feature selection and support vector machine, referring to figure 1 , the method mainly includes two stages: sensitive feature selection and support vector machine recognition. Among them, the sensitive feature selection part is based on extracting 18 features such as instantaneous features, high-order cumulants, and power spectrum features of the underwater acoustic communication signal, and uses the entropy weight method to assign different weights to each feature to select sensitive features. The greater the weight corresponding to the feature, the greater the role in subsequent modulation recognition, and these features with greater weight are regarded as sensitive features. The recognition part of the support...

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Abstract

The invention discloses an underwater acoustic communication signal modulation identification method based on feature selection and a support vector machine. The method comprises the following steps: extracting instantaneous features, high-order cumulant and power spectrum features of each simulated or actually obtained underwater acoustic communication data sample to form series features; calculating a weight coefficient of the series features by adopting an entropy weight method, and regarding the corresponding features with the weight coefficient greater than a preset weight threshold as sensitive features; taking the sensitive feature of each sample as sample data, marking the same label on the underwater sound data samples with the same modulation mode, marking different labels on the underwater sound data samples with different modulation modes, and forming training; using a training set as input of a support vector machine, adopting a Gaussian kernel function, taking a multi-classification cross entropy function as a target function for training, and obtaining an identification model based on the support vector machine; and performing modulation identification on the underwater acoustic communication data subjected to feature extraction by using the trained identification model. The method has the advantages of high efficiency and accurate identification.

Description

technical field [0001] The invention relates to the field of signal processing, in particular to a modulation recognition method for underwater acoustic communication. Background technique [0002] With the development and application of machine learning technology, the research on modulation recognition methods has gradually become a hot spot in the field of underwater acoustic communication. Among them, the modulation recognition method based on feature extraction is one of the important research directions. [0003] Generally speaking, the modulation recognition method based on feature extraction is divided into two parts: feature extraction and classifier. However, the underwater acoustic channel is a time-frequency-space variable parameter channel with strong multi-path, Doppler spread and multi-transmission attenuation. These characteristics of the underwater acoustic channel lead to serious distortion of the underwater acoustic communication signal at the receiving e...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L27/00H04B13/02H04B11/00G06K9/00G06K9/62
CPCH04L27/0012H04B13/02H04B11/00G06F2218/00G06F2218/08G06F18/2411
Inventor 吕曜辉刘炜琪李兴顺殷昊
Owner OCEAN UNIV OF CHINA