Broadband anti-interference system based on deep reinforcement learning and anti-interference method

Abstract

The invention discloses a broadband anti-interference system based on deep reinforcement learning and an anti-interference method. A group of transmitter and receiver pairs are considered as a communication user; when a user performs communication, a plurality of jammers perform malicious interference on the user, the user intelligently selects a communication frequency from a wide frequency bandby utilizing spectrum sensing information, the user decision process is modeled into a Markov decision process, and a user frequency decision is optimized to maximize the throughput of the user. According to the anti-interference method, a layered deep reinforcement learning algorithm is designed, then a two-dimensional window is controlled according to a frequency band decision, a frequency spectrum waterfall plot of a corresponding frequency band is selected, and a frequency selection network is designed for learning to obtain an optimal frequency decision. The broadband anti-interference system is complete in model and reasonable and effective in design algorithm, and compared with a traditional deep reinforcement learning anti-interference algorithm, iteration time and calculation complexity are effectively reduced while an excellent anti-interference effect is guaranteed.

Description

technical field [0001] The present invention relates to the field of wireless communication technology, in particular to a broadband anti-interference system and anti-interference method based on deep reinforcement learning, and in particular to a broadband anti-interference model and an anti-interference algorithm based on layered deep reinforcement learning. Background technique [0002] In the field of communication, a signal is a physical quantity that represents a message. For example, an electrical signal can represent different messages through changes in amplitude, frequency, and phase. Interference is the impairment of reception of a desired signal. With the rapid development of wireless communication technology, interference, especially intelligent interference, is posing a huge threat to the security of our country's information and related fields. In the field of military communications, with the deep integration of artificial intelligence and communication coun...

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above problems, the present invention provides a broadband anti-jamming system and anti-jamming method based on deep reinforcement learning, which can well describe the broadband anti-jamming scene based on deep reinforcement learning

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