Satellite communication, as an important means of communication, plays a key role in modern society. However, with the development of communication technology, satellite communication system is also facing the increasingly serious interference problem and the challenge of interference recognition technology. In view of this situation, this paper first introduces the common patterns of satellite interference signals, and summarizes the development trends of satellite interference signals. Secondly, the research status of satellite interference signal classification and recognition technology is introduced from three aspects: feature extraction based interference recognition method, traditional machine learning method and deep learning method, and their respective advantages and disadvantages are analyzed. Finally, the future classification and recognition technology of satellite interference signal is prospected.