Signal-image translation method based on generative adversarial network

Abstract

The invention discloses a signal-image translation method based on a generative adversarial network, and a device for realizing the translation method comprises a translation model ST, a discrimination model SD and a classification model SC, and comprises the following steps of (1) pre-training the translation model and the classification model until the number of iterations reaches a set value; (2) inputting the real color image and a signal image obtained by the translation model into a discrimination model for confrontation training, and training parameters of the discrimination model; (3)inputting a signal image obtained by the translation model into a discrimination model for confrontation training, and training parameters of the translation model; (4) collaboratively training parameters of the translation model and the classification network; (5) repeating the steps (2) to (4) until the Nash equilibrium of the ST-SD reaches a preset number of training iterations; and (6) inputting the radio signal to be translated into the translation model to obtain a translated signal image. By utilizing the method, the diversity of translation results can be enhanced, and the security concealment of information transmission is ensured.

Description

technical field [0001] The invention belongs to the security field of deep learning combined with radio signal transmission, and in particular relates to a signal-image translation method based on a generative confrontation network. Background technique [0002] In recent years, in addition to achieving good performance in data processing tasks such as images, voice, and text, deep learning has gradually been introduced into the field of radio data processing by researchers. Radio signals refer to electromagnetic waves that propagate in all free spaces, and belong to a limited frequency band in Pop. According to the regulations of the International Telecommunication Union, the frequency range is generally 3KHz to 300GHz. Radio signal data processing tasks include signal modulation, signal demodulation, signal compression, signal encoding, etc. The modulation type of the signal needs to be identified before the signal is demodulated. Radio signal modulation technology is a ...

AI Technical Summary

Problems solved by technology

However, with the development of radio signal technology, the safety issues in the process of radio signal transmission have also begun to highlight

Existing radio signals are easily intercepted and used by malicious users, causing great property losses and serious information security problems

Although the current radio signal modulation technology is relatively mature, it is still susceptible to interference from other factors

When the radio signal contains noise, the modulation type identification and modulation and demodulation of the radio signal become more difficult

[0004] In addition to the security and confidentiality of signal transmission, radio signals also have information redundancy and noise interference.

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