文档介绍：无线电工程
Radio Engineering
ISSN 1003-3106,CN 13-1097/TN
Automatic Modulation Recognition Algorithm Based on Signal Transform
Domain
LIAO Xing, GAO Yong
(College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China)
Abstract: With the increasing complexity of the communication environment, the requirements for the recognition of modulated
signals under low signal-to-noise ratios have gradually become higher. Aiming at the problem of low signal recognition rate under low
signal-to-noise ratio, this paper proposes an improved residual neural network modulation recognition algorithm based on signal
transform domain characteristics, which uses the signal in the autocorrelation domain and the discrete cosine transform domain
(Discrete Cosine Transform, DCT) has different characteristics. The signal characteristics are used as the input of the parallel network,
and the different extracted characteristics are integrated inside the network. Under low signal-to-noise ratio, the characteristics of BPSK