Title :
A MPSK modulation classification method based on the maximum likelihood criterion
Author :
Zhao Zhijin ; Tao, Lang
Author_Institution :
Hangzhou Inst. of Electron. Eng., China
fDate :
31 Aug.-4 Sept. 2004
Abstract :
In this paper, a general expression of feature parameter for the classification of MPSK signals based on maximum likelihood criterion is presented. For the real signals, three modified measures are given to improve the identification performance. The success rates for real signals BPSK, QPSK, 8PSK and 16PSK are higher than 80%.
Keywords :
maximum likelihood detection; phase shift keying; signal classification; 16PSK; 8PSK; BPSK; MPSK signal classification; QPSK; feature parameter; maximum likelihood criterion; quadrature phase shift keying; Electronic mail; Frequency; Genetic expression; Maximum likelihood detection; Phase shift keying; Probability; Signal detection; Signal processing; Signal processing algorithms; Statistics;
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
DOI :
10.1109/ICOSP.2004.1441687
