Volume 4 Issue 3



Abstract : In this paper, cumulant approach is used in MQAM modulated signal recognition. This method uses the characteristics o f higher - order cumulants and higher - order statistics to identify different kinds of MQAM signals. We focus on the modulation identification using statistical properties of M QAM signals. The reason of using this method is the ability of higher - order statistics to reflect the distribution characteristics of the constellation diagram. T here are many benefits of using this method. This method needs only small amount of computations. It can effectively inhibit the effects of White Gaussian Noise. In many applications,the cumulants are applicable to distinguish between different amplitude or phase modulated signals like MQAM,MPSK,MASK. Different modulated signals have different cumulant values. Whenever we use higher order cumulants,we will get higher degree t o distinguish the type of modulation scheme;the higher order cumulants require a large amount of data.

Pages : 18-23

Downloads : 1381

Publication Date :

Modified Date : 2017-03-20

Cite/Export :

MOHAMMED TAG ELSIR AWAD ELSOUFI , TANG BIN , "CUMULANT APPROACH FOR MODULATION RECOGNITION", IJIERT - International Journal of Innovations in Engineering Research and Technology, Volume 4 Issue 3, ISSN : 2394-3696, Page No. 18-23