Data knowledge dual-drive modulation intelligent identification method

Abstract

The invention discloses a data knowledge dual-drive modulation intelligent identification method. The method mainly solves the problems that an existing modulation identification method is low in classification accuracy under the low signal-to-noise ratio, depends on a large number of training samples, and high-order modulation modes are likely to be confused in the identification process. The method comprises the following steps of: acquiring spectrum data; constructing corresponding attribute vector tags according to different modulation modes; constructing and pre-training an attribute learning model according to the attribute labels of different modulation modes; constructing and pre-training a modulation mode identification visual model; a feature space conversion model is constructed, and a data knowledge dual-drive modulation mode intelligent identification framework is constructed in combination with a visual model and an attribute learning model; migrating parameters of the pre-training visual model and the pre-training attribute learning model, and retraining the conversion model; and judging whether network training is finished, and outputting a classification result. According to the invention, the identification accuracy under a low signal-to-noise ratio is obviously improved; and confusion between high-order modulation modes is reduced.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a modulation intelligent identification method driven by data and knowledge. Background technique [0002] Intelligent identification of modulation mode is a crucial technology in wireless intelligent communication. It distinguishes different types of modulated signals by learning the unique characteristics of received signals. With the gradual popularization of 5G, research on 6G wireless communication networks has emerged. As a key component of 6G communication network, intelligent communication technology urgently needs in-depth research, among which the intelligent identification of modulation mode is one of the key technologies. Therefore, it is very important to carry out research on the intelligent identification of modulation modes. At the same time, modulation identification has been widely used in military and civilian fields. In military applications, modulation...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the disadvantages of the existing modulation recognition technology in complex and dynamic actual scenes, such as poor performance, dependence on a large number of training samples, and serious confusion between high-order modulation modes, the present invention proposes a modulation mode intelligence driven by data and knowledge. The recognition method introduces semantic attributes as knowledge, and embeds attribute features into the visual feature space through the conversion model, which greatly improves the accuracy of modulation recognition under low signal-to-noise ratio, reduces the confusion between high-order modulation methods in the recognition process, and Ability to reduce dependence on the amount of training data

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