Transmission method for random frequency array auxiliary direction modulation based on deep learning

Abstract

The invention relates to a transmission system for random frequency array auxiliary direction modulation based on deep learning. The transmission system comprises a transmitting end and an expected user. The transmitting end comprises a random frequency diversity array and a transmitter, and the transmitter transmits a signal towards the expected user by using the random frequency diversity array, so that the expected user realizes secure transmission. According to the method, by means of the deep learning technology, the initial phase of a transmitted privacy signal is designed at the transmitting end by introducing the direction angle and distance information of the expected user, the optimal beam forming vector minimizing the system error vector amplitude is obtained, and therefore, angle-distance two-dimensional secure transmission is achieved. Meanwhile, orthogonal artificial noise is designed, noise pollution is carried out on an eavesdropper in an unexpected area, eavesdropping performance is deteriorated, and the probability that the eavesdropper obtains an antenna array element frequency distribution rule is reduced.

Description

technical field [0001] The present invention relates to the field of wireless communication and deep learning, in particular to a transmission method based on deep learning with random frequency array assisted direction modulation. Background technique [0002] The fifth generation mobile communication system is considered to be a wireless network capable of providing ultra-high-speed connections and higher data rates, and its appearance has greatly changed the way people live. At the same time, the emergence of new wireless application equipment puts forward higher performance requirements for reducing hardware loss and system energy consumption. In addition, wireless communication has the characteristics of broadcasting and openness, which makes it extremely easy to leak private information, and it is difficult to guarantee the security of private information due to illegal eavesdropping by illegal users. At present, in order to achieve secure transmission in wireless com...

AI Technical Summary

Problems solved by technology

In addition, wireless communication has the characteristics of broadcasting and openness, which makes it extremely easy to leak private information and be illegally eavesdropped by illegal users, making it difficult to guarantee the security of private information

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