INFLUENCE OF TRANSMITTER NONLINEARITIES ON DATA TRANSMISSION FROM REMOTELY PILOTED AIR SYSTEM

Authors

  • Andrii Grekhov National Aviation University
  • Vasil Kondratiuk National Aviation University
  • Anton Ermakov National Aviation University
  • Evgen Chernyuk National Aviation University

DOI:

https://doi.org/10.18372/2306-1472.72.11979

Keywords:

OFDM channel, transmitter nonlinearity, unmanned aerial vehicle communication channel

Abstract

Purpose: 1) to develop a model of a communication channel of an unmanned aerial vehicle "UAV-Ground station" with adaptive modulation and orthogonal frequency division of channels; 2) to calculate the channel parameters with different types of fading for different levels of satellite transponder nonlinearity. Method: MATLAB Simulink software was used to simulate the channel operation. Results: Based on the IEEE 802.16d standard, a realistic model of the communication channel of the unmanned aerial vehicle "UAV-Ground Station" was developed, which is used to estimate the channel parameters. The channel model with adaptive modulation consists of a source of information, a transmitter, a downlink channel with fading, and a terrestrial station receiver. Dependences of the signal-to-noise ratio of the terrestrial receiver on the signal-to-noise ratio in the channel down for different types of nonlinearity of the unmanned aerial transmitter, various modulations (BPSK, QPSK, 16QAM, 64QAM), various types of fading are obtained. The signal constellations of the received signals for different Doppler frequency shifts are compared. Conclusion: The developed model allows determining the conditions under which the channel is "open" for a given type of a modulation and a data rate. The proposed approach can be considered as a method for estimating the parameters of the satellite communication channel of an unmanned aerial vehicle with fading.

Author Biographies

Andrii Grekhov, National Aviation University

Doctor of Physics and Mathematics (1990). Professor (1991). Expert of EUROCONTROL for ADS-B systems.

Department of Air Navigation Systems, National Aviation University, Kyiv, Ukraine.

Education: Physical Department of the Kyiv State Taras Shevchenko University, Ukraine (1973), M.Sc. Degree with Honors confirming qualification of Physicist Theorist.

Research area: satellite communications and information channels, computer modeling of information flows in airborne collision avoidance systems, ADS-B systems, surveillance processes and modern signal processing, expansion of terrestrial surveillance systems for ADS-B using satellite system IRIDIUM, noise resistant coding and forward error correction, aviation security assessment based on simulation.

Vasil Kondratiuk, National Aviation University

Director of Research and Training Centre "Aerospace Center" at the National Aviation University.

Education: Kyiv Polytechnic Institute, Ukraine (1985).

Research area: global navigation satellite systems, unmanned aerial vehicles, aviation, performance-based navigation (PBN), experimental techniques.

Anton Ermakov, National Aviation University

Student

Evgen Chernyuk, National Aviation University

Student

References

EUROCAE WG73 UAS. Concept of RPAS Required Communication Performance Methodology for the Command, Control and Communication Link. Available at: https://www.uavdach.org/News/WG73_CClink_RRCPDraftforWG73CommentV0%2010.pdf.

Faezah J., Sabira K. (2009) Adaptive Modulation for OFDM Systems. International Journal of Communication Networks and Information Security, vol. 1, no. 2, pp. 1-8.

STANAG 4609/AEDP-8. NATO Digital Motion Imagery Format. Available at:

http://www.gwg.nga.mil/misb/docs/nato_docs/STANAG_4609_Ed3.pdf.

STANAG 7023/AEDP-9. NATO Primary Image Format. Available at: https://booksmovie.org/similar-pdf-stanag-7023-nato.html.

STANAG 4607/AEDP-7. NATO Ground Moving Target Indicator Format. (GMTIF). Avalable at: http://standards.globalspec.com/std/1300603/nato-stanag-4607.

O'Droma, M., Mgebrishvili N., Goacher A. (2004) Theoretical analysis of intermodulation distortion in OFDM signals in the presence of nonlinear RF high power amplifiers. IEEE 59th VTC, vol. 3, pp. 1295-1299.

Jantunen P. (2004) Modeling of Nonlinear Power Amplifiers for Wireless Communications. The thesis for the degree of Master of Science. Finland 138 p. Available at: <http://www.researchgate.net/publication/224263342_Nonlinear_RF_power_amplifier_behavioural_analysis_of_wireless_OFDM_systems>.

Gregorio F.H. (2007) Analysis and Compensation of Nonlinear Power Amplifier Effects in Multi-Antenna OFDM Systems. Dissertation for the degree of Doctor of Science in Technology, 133 p. Available at: http://lib.tkk.fi/Diss/2007/isbn9789512290017

El-Khatib Z., MacEachern, Mahmoud S.A. (2012) Distributed CMOS Bidirectional Amplifiers: Broadbanding and Linearization Techniques. Chapter 2. Modulation Schemes Effect on RF Power Amplifier Nonlinearity and RFPA Linearization Techniques. Analog Circuits and Signal Processing. Springer, 134 p.

Park D., Song H. (2007) A new PAPR reduction technique of OFDM system with nonlinear high power amplifier. IEEE Trans. CE, vol. 53, no. 2, pp. 327-332.

Cioni S., Corazza G. E., Neri M., Vanelli-Coralli A. (2006) On the use of OFDM radio interface for satellite digital multimedia broadcasting systems. International Journal of Satellite Communications and Networking, vol. 24, no. 2, pp. 153-167.

Varade S., Kulat K. (2012) BER Comparison of Rayleigh Fading, Rician Fading and AWGN Channel using Chaotic Communication based MIMO-OFDM System. International Journal of Soft Computing and Engineering, vol. 1, no. 6, pp. 2231-2307.

Roque D., Siclet C. (2013) Performances of Weighted Cyclic Prefix OFDM with Low-Complexity Equalization. IEEE Communications Letters, vol. 17, no. 3, pp. 439–442.

How to Cite

Grekhov, A., Kondratiuk, V., Ermakov, A., & Chernyuk, E. (2017). INFLUENCE OF TRANSMITTER NONLINEARITIES ON DATA TRANSMISSION FROM REMOTELY PILOTED AIR SYSTEM. Proceedings of National Aviation University, 72(3), 33–41. https://doi.org/10.18372/2306-1472.72.11979

Issue

Section

AEROSPACE SYSTEMS FOR MONITORING AND CONTROL