International Journal of Nonlinear Analysis and Applications

Methodology for modeling the information signal generator at the physical level in FANET networks

Document Type : Research Paper

Authors

1 Belgorod State Research University, Belgorod, 308015, Russia

2 Vladimir State University named after Alexander Grigoryevich and Nikolai Grigorievich Stoletovs, Vladimir, 600000, Russia

Abstract

Effective design of flying ad-hoc networks (FANET) requires creating a reliable model of network behavior at various interconnection levels. The greatest differences between ad-hoc and hierarchical networks are concentrated on the lower four levels (physical, channel, network, and transport). Software simulators of computer networks have a simplified nature of the physical layer and also do not allow obtaining analytical solutions as a result of the modeling process. The developed hierarchical model for the formation of information signals allows to perform an analytical description of various communication channels and telecommunications equipment. The model can represent communication channels in a flying network while taking into account attenuation, inter-symbol interference, signal propagation over many paths, telecommunications equipment circuits with linear and nonlinear signal generation; circuits with different directions of control signals, namely direct control (FC), backward control (BC) and combined control; multi-channel circuits. Analytical transfer functions of the model are obtained for any number of unfolded hierarchy levels. The UAV transmitter frequency synthesizer is modeled on the basis of a hierarchical signal generation model. The simulation allowed us to determine the conditions for the uniformity of the amplitude-frequency modulation characteristic (AFMC) in the region of the lower modulating frequencies of the synthesizer while maintaining the high operating speed of the synthesizer.

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 14, Issue 5
May 2023
Pages 169-176
  • Receive Date: 21 August 2021
  • Revise Date: 14 October 2021
  • Accept Date: 26 October 2021