CUMULATIVE FEATURES FOR DETERMINING THE TYPE OF SIGNAL MANIPULATION
Vagid K. Kurbanaliev
A.I. Berg Central Research Institute of Radioengineering, http://www.cnirti.ru/
Moscow 107078, Russian Federation
Received October 12, 2020; peer reviewed October 19, 2020; accepted October 26, 2020
This paper describes the apparatus of cumulant analysis in relation to the problem of recognizing the types of signal modulation. The article presents the results of using artificial neural networks in the task of automating the detection of intra-pulse modulation signs for the identification (classification) of signals. A mathematical model of a phase-shift keyed signal is developed, the main properties of this type of signals are described and a method is proposed that allows one to determine the type of signal manipulation based on the calculation of informative (cumulative) features. Simulation was carried out in Matlab/Simulink.
: phase-shift keying, artificial neural networks, cumulant analysis
, 2020, 12(3):319-328.
Full-text electronic version of this article - web site http://en.rensit.ru/vypuski/article/348/12(3)319-328e.pdf