The Automatic Identification of a Digital Signal Based on Cyclic Spectrum

With the continuous development of the software radio technology, the mode of communication signal modulation recognition is becoming an important research direction. The article describes the spectrum of the digital signal modulation recognition method and takes advantage of some of the modulation signal when some modulation signal have the same power spectral density correlation function of the spectrum, but there is a significant difference in spectral correlation function. Low signal-to-noise ratio of the modulated signal can be identified by spectral correlation function. The article has computer simulation of Gaussian noise automatic identification of digital communication signals by the extraction of some of the parameters of the cyclic spectrum.The experimental simulation results show that signal average recognition rates can reach 95% or more, and good practial prospects when the signal-to-noise ratio is not less than 15dB. Keyword: Digital communications, Spectral Correlation, Automatic identification