A Review of Machine Learning Based Techniques for Demodulation
Youmu Shi, Di Yan, Peijie Liu, Yudi Chen, Chao Li, Zhiwei Lu · 2020
Since the machine learning (ML) techniques showing the great potentialities in creating an intelligent world, a lot of research pour in this field. When traditional fields are infused with intelligent ideas, the efficiency and vitality are enhanced. In communication, the combination with ML will lead to a more flexible and efficient way to rethink the designation of communication systems. This paper provides with a brief view of the methods of ML based techniques for communication signal demodulation. In this paper, we list the related works and analysis the principles and methods. To intuitively present the designers' ideas, schematic graphs and brief formulae are used. Therefore, this paper can help the new readers to learn the core idea of these works quickly and can simultaneously help the researchers to come up with a train of thought.