Open AccessAutomatic Identification of Communication Signals Using Zero-Crossing Based Techniques
Author(s) -
Emanuel S. H. Qas Marrogy
Publication year - 2019
Publication title -
cihan university-erbil scientific journal
Language(s) - English
Resource type - Journals
eISSN - 2707-6377
pISSN - 2519-6979
DOI - 10.24086/cuesj.v3n2y2019.pp25-30
Subject(s) - identification (biology) , demodulation , computer science , modulation (music) , signal (programming language) , key (lock) , process (computing) , hierarchy , representation (politics) , zero crossing , electronic engineering , telecommunications , engineering , electrical engineering , computer security , channel (broadcasting) , philosophy , botany , operating system , voltage , politics , economics , political science , law , market economy , biology , programming language , aesthetics
The identification of different types of modulation for any intercepted communication signal out of the vast hierarchy of possible modulation types is a key fundamental before advising a suitable type of demodulator, where this process is usually a manual option. This technique is extremely important for the purposes of communication intelligence. In this paper, a proposed methodology is suggested, validated, and tested (through computer simulations) for the automatic identification of the modulation type (analog and digital) of the intercepted communication signals. The methodology is based on the zero-based representation of signals and utilization of new algorithms for such identification.