Abstract
With the continuous improvement of communication technology, electronic communication technology has become an indispensable important technology in people’s life. Although communication technology provides great convenience for the society, it also brings a lot of signal noise interference, which will affect the application of a variety of high-precision equipment signals. Therefore, the research of communication interference and anti-jamming technology is gradually deepened in China. With the development of 5g services, millimeter wave has become the future direction of spectrum development. However, 5g millimeter wave has the characteristics of fading, high rate and delay, which requires the use of beamforming architecture for signal transmission. At present, the beam of digital analog hybrid structure will be restricted in many aspects, such as hardware constraints, poor adaptive ability, etc., which will be difficult to solve by traditional optimization theory. The hybrid beam will have poor adaptive ability, which needs to maintain good performance in a variety of communication scenarios. Therefore, this paper studies a kind of intelligent beam, which is a beam forming technology of neural network. Firstly, this paper analyzes the current beamforming classification. Then, the beamforming technology of neural network is developed. Finally, this paper presents the current anti-jamming technology.
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