Automatic Identification of Communication Signals Using Zero-Crossing Based Techniques

  • Emanuel S. H. Qas Marrogy Al-Mansour University College, Baghdad, Iraq.
Keywords: Zero-Crossing, Communication signals, Modulation, Digital signal, Analog signal, Algorithms

Abstract

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.

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Published
2019-08-20
How to Cite
Qas Marrogy, E. (2019). Automatic Identification of Communication Signals Using Zero-Crossing Based Techniques. Cihan University-Erbil Scientific Journal, 3(2), 25-30. https://doi.org/10.24086/cuesj.v3n2y2019.pp25-30
Section
Research Article