Title :
Automatic Digital Modulation Classification Algorithms
Author :
Zhang, Wensheng ; Yang, Hongming
Author_Institution :
Coellge of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
Abstract :
In this paper, we develop a new modulation classification of MPSK signal, gain approximately classify statistics via received signal sampled and main parameters approximated. Simulation results indicate that the algorithms can gain high probability of correct classification and low compute quantity, when an appropriate sampling plan is used by SNR condition
Keywords :
phase shift keying; signal sampling; MPSK signal; SNR; automatic digital modulation classification algorithms; received signal sampling; AWGN; Additive white noise; Classification algorithms; Digital modulation; Educational institutions; Electronic mail; Gaussian noise; Modulation coding; Sampling methods; Statistics;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345918
