A modulation identification method and device based on deep learning

Abstract

The invention relates to a modulation identification method and device based on deep learning, and the method comprises the steps: inputting a to-be-processed signal into a preprocessing model, and carrying out the convolution operation of the to-be-processed signal and a filter in the preprocessing model; Performing sampling and normalization processing on a result of the convolution operation toobtain time-frequency characteristics; And processing the time-frequency characteristics, and judging the modulation type of the to-be-processed signal. According to the method, a deep learning algorithm is introduced into a processing process of communication signals, a preprocessing model is constructed by utilizing the deep learning algorithm to extract time-frequency characteristics of the communication signals, the recognition efficiency is high, and the types of modulation modes capable of being processed can be expanded through autonomous learning; According to the method, communication equipment or machines have autonomous learning and autonomous updating capabilities, so that problems and challenges caused by development of a mobile communication network are better coped with.

Description

technical field [0001] The present application relates to the technical field of communication signal processing, in particular to a deep learning-based modulation recognition method and device. Background technique [0002] With the continuous improvement of users' demand for mobile communication, the fifth-generation mobile communication technology with higher speed and wider bandwidth has emerged as the times require. With the development of the fifth-generation mobile communication technology, the change of the communication environment is more complicated. In order to improve the utilization rate of the frequency band and ensure the reliability of transmission, it is necessary to adopt a variety of different modulation methods. The purpose of modulation identification is to correctly identify the modulation mode of the received communication signal in the context of simultaneous transmission of multiple modulation signals and in an environment with insufficient prior co...

AI Technical Summary

Problems solved by technology

[0005] It can be seen that in the case of efficient reuse of spectrum resources and complex changes in the communication environment, traditional communication signal recognition technologies that rely on complex manual analysis and extraction of features often have great limitations and cannot meet actual use needs.

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