+7 (495) 957-77-43

article-7_4_2019

Извините, этот техт доступен только в “Американский Английский”. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.

APPLICATION OF PERMUTATION DECODING METHOD IN A SMALL CLASS UAV CONTROL SYSTEM
(DRONES, MULTICOPTER)

Ivan A. Sorokin, Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia
Pavel N. Romanov, Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia
Maria Yu. Shibaeva, Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia

Abstract
This paper analyzes the theory of control of unmanned aerial vehicles (UAVs). Permutation decoding tools have been found to allow masking of the actual signal structure for a short period of time.

Keywords:security, unmanned aerial vehicles, communication channel, masking method, system, non-binary codes, commutation decoding, spoofing, GPS.

References

1. Ganin D.V., Namestnikov S.M., Chilikhin N.Yu. (2017). Modified algorithms for the lexicographical decoding of polar codes in image processing system. Bulletin NGIEI. No. 11 (78), pp. 7-22.
2. Gladkih A.A. (2010). Basics of the theory of soft decoding of redundant codes in the erasing communication channel. Ulyanovsk: UlSTU. 379 p.
3. Druzhinin E.A., Yashin S.A., Kritsky D.N. (2012). Analysis of the influence of the functional purpose and application areas on the structure and characteristics safe for use in the airspace of the LHC. Open information and computer integrated technologies. No. 54, pp. 60-67.
4. Morelos-Zaragoza R. (2005). The art of noise immunity coding. Methods, algorithms, application. Moscow: Technosphere, pp. 213-216.
5. Peterson W., Weldon E. (1976). Codes that correct errors. Ed. R. L. Dobrushin and S.I. Samoilenko. Moscow: Mir, pp. 76-78.
6. Rostopchin V.V. Modern classification of unmanned aircraft systems for military purposes. Internet-edition UAV.ru — Unmanned aviation, http://uav.ru/articles/bas.pdf.
7. Shamin A.A. (2017). Increasing the energy efficiency of the elements of sensor networks by the permutation decoding method. Bulletin NGIEI. No. 10 (77), pp. 24-34.
8. Shakhtanov S.V. (2017). Permutation decoding of nonbinary redundant codes. Bulletin NGIEI. No. 8 (75). pp. 7-14.
9. Unmanned aircraft: terminology, classification, current state [Electronic resource]: http://coollib.com/b/322192/read#3.
10. Gladkikh A.A., Ganin D.V., Sorokin I.A., Shamin A.A., Shakhtanov S.V. (2018). RF patent number 2672300, 11/13/2018. Permutation decoder with memory. Russian Patent No. 2672300 Bull. No. 32.
11. Andrew J. Kerns, Daniel P. Shepard, Jahshan A. Bhatti and Todd E. Humphreys. Unmanned Aircraft Capture and Control via GPS Spoofing. Bhatti and Todd E. The University of Texas at Austin Austin, TX 78712. 29 p.
12. Md Moin Uddin Chowdhury, Eyuphan Bulut, Ismail Guvenc. (2019). Trajectory Optimization in UAV-Assisted Cellular Networks under Mission Duration Constraint. IEEE Radio Wireless Week 2019, Orlando, FL. 5 p.
13. Carmen D’Andrea, Adrian Garcia-Rodriguez, Giovanni Geraci, Lorenzo Galati Giordano, Stefano Buzzi. (2019). Cell-free Massive MIMO for UAV Communications. University of Cassino and Southern Latium, Cassino, Italy. 2019. 6 p.

Information about authors:
Ivan A. Sorokin, candidate of technical sciences, associate professor of the chair «Infocommunication technologies and communication systems», Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia
Pavel N. Romanov, Senior Lecturer at the department of «Infocommunication Technologies and Communication Systems», Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia
Maria Yu. Shibaeva, teacher of the department «Infocommunication technologies and communication systems», Nizhny Novgorod State University of Engineering and Economics, Knyaginino, Russia