Title :
Modulation classification for QAM/PSK using a soft clustering algorithm
Author :
Shahmohammadi, Mohammad ; Nikoofar, Hamid R.
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
We propose a novel algorithm for digital modulation classification (MC) by exploiting the constellation shape as a key signature of the modulation type. Viewing the constellation shape as a geometrical pattern, we change the MC problem to a general pattern classification issue. Moreover the algorithm enables us to identify the modulation type under non-coherent conditions. Our approach can be viewed as a method for blind estimation of the reference phase with modulation identification.
Keywords :
pattern classification; pattern clustering; phase estimation; phase shift keying; quadrature amplitude modulation; QAM/PSK; blind estimation; constellation shape; digital modulation classification; modulation identification; noncoherent conditions; pattern classification; reference phase; soft clustering algorithm; Clustering algorithms; Constellation diagram; Cost function; Digital modulation; Iterative algorithms; Pattern classification; Phase estimation; Phase shift keying; Quadrature amplitude modulation; Shape;
Conference_Titel :
Information Theory, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7501-7
DOI :
10.1109/ISIT.2002.1023291
