Abstract
By studying the characteristics of four modulation signals of CW, OOK, FSK and MSK, the pattern recognition method based on characteristic parameter extraction is used to identify, and three characteristic parameters of four modulation signals are extracted. The classification flow chart based on decision tree classifier is designed and simulated with MATLAB. The results show that the method can recognize the submarine signal effectively. When the signal to noise ratio is 10dB, the correct recognition rate of the signal is above 92.1%, especially, the MSK signal can be identified by 100%.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Paper version not known
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: DEStech Transactions on Computer Science and Engineering
Paper Title
Journal
Date
