Title :
A classification method for MPSK signals based on the maximum likelihood criterion
Author :
Zhao, Zhijin ; Lang, Tao
Author_Institution :
Hangzhou Inst. of Electron. Eng., China
fDate :
31 May-2 June 2004
Abstract :
In this paper, a general expression of characteristic parameter for the classification of MPSK signals based on maximum likelihood criterion was presented. The computer simulations verify the effectiveness and correctness of the method.
Keywords :
maximum likelihood detection; phase shift keying; signal classification; MPSK signal; maximum likelihood criterion; signal classification method; Computer simulation; Demodulation; Frequency conversion; Genetic expression; Maximum likelihood detection; Phase shift keying; Signal detection; Signal processing; Signal to noise ratio; Statistics;
Conference_Titel :
Emerging Technologies: Frontiers of Mobile and Wireless Communication, 2004. Proceedings of the IEEE 6th Circuits and Systems Symposium on
Print_ISBN :
0-7803-7938-1
DOI :
10.1109/CASSET.2004.1321902
