Affiliations: College of Physics and Mechanical and Electrical Engineering, Hechi University, Yizhou, Guangxi, China
Correspondence:
[*]
Corresponding author. Shuiping Xiong, College of Physics and Mechanical and Electrical Engineering, Hechi University, Yizhou, Guangxi, China. E-mail: [email protected].
Abstract: In order to improve the modulation recognition algorithm effect of an optical communication system, an improved modulation recognition algorithm technology based on wavelet transform on the time-varying optical communication system is designed. Firstly, considering the time-varying effect of noise on the communication system, wavelet transform is introduced to pre-process the signal of the optical communication system, extracting the characteristic number of modulation recognition of optical communication system, and a classifier of modulation recognition is established by data mining technology to realize modulation recognition technology of optical communication system. Finally, several typical modulation modes of the optical communication system are tested by simulated experiments. In this paper, several typical modulation modes are identified accurately, and real-time on-line analysis of modulation recognition is realized. In the optical communication system, the recognition accuracy of the modulation pattern is higher than other modulation recognition technologies, which has high practical application value.
