Preview

Earth sciences and subsoil use

Advanced search

Radio telemetry signal quality enhancement system to improve Earth remote sensing using unmanned aerial vehicles efficiency in real-time kinematics mode

https://doi.org/10.21285/2686-9993-2024-47-3-316-328

EDN: VKUYSI

Abstract

When conducting remote sensing of the Earth using unmanned aerial vehicles, the problem of connection disruption between the operator’s base station and the unmanned aerial vehicle controller often arises due to natural obstacles to radio signal propagation (relief, vegetation, etc.) as well as a large range of the vehicle. The loss of connection is especially critical when surveying is carried out using a real-time kinematics technology, which ensures the transmission of correction amendments from the base station to the unmanned aerial vehicle controller to ensure high-precision spatial referencing of the obtained data. The objective of the work was to create a signal retransmission system with the possibility to install it on a light-class unmanned aerial vehicle capable of hovering in the air for more than three hours, for transmitting a radio signal from the base to the unmanned aerial vehicle via a third-party device beyond natural terrain obstacles and over long distances. Having compared various methods of signal transmission via a third-party device, the authors determined the most suitable configuration that meets the requirements for signal transmission quality and design simplicity for performing work in hard-to-reach regions. To create the repeater, RFD radio modems of various series were used and various operating frequencies were tested due to their availability and wide customization capabilities. The work resulted in obtaining a repeater pair of radio modems that make it possible to redirect the radio signal from the base station to the unmanned aerial vehicle without any loss of data quality and transfer rate for performing remote sensing of the Earth using the real-time kinematics technology. A secondary feature of the repeater is the possibility to use it as a search system in case of unmanned aerial vehicles emergency landing if the search beacon is unavailable.

About the Authors

V. V. Erofeev
Irkutsk National Research Technical University
Russian Federation

Vladimir V. Erofeev, Research Engineer of the Geoinformatics Department, Siberian School of Geosciences

Irkutsk


Competing Interests:

The authors declare no conflicts of interests



A. N. Kosterev
Irkutsk National Research Technical University
Russian Federation

Aleksey N. Kosterev, Leading Engineer of the Geoinformatics Department, Siberian School of Geosciences

Irkutsk


Competing Interests:

The authors declare no conflicts of interests



E. D. Valkova
Irkutsk National Research Technical University
Russian Federation

Evgenia D. Valkova, Junior Researcher of the Geoinformatics Department, Siberian School of Geosciences

Irkutsk


Competing Interests:

The authors declare no conflicts of interests



V. V. Matytsin
Irkutsk National Research Technical University
Russian Federation

Viktor V. Matytsin, Leading Engineer of the Geoinformatics Department, Siberian School of Geosciences

Irkutsk


Competing Interests:

The authors declare no conflicts of interests



References

1. Gantimurova S.A., Parshin A.V., Erofeev V.V. GIS-based landslide susceptibility mapping of the Circum- Baikal Railway in Russia using UAV data. Remote Sensing. 2021;13(18):3629. https://doi.org/10.3390/rs13183629. EDN: RHIFUT.

2. Gantimurova S.A., Parshin A.V., Kosterev A.N., Subbotina D.A., Koshkin I.O., Lobuzov I.V., et al. Studying dangerous rock-landslide sections of the Circum-Baikal Railway based on unmanned survey data. In: Novye idei v naukakh o Zemle: materialy XVI Mezhdunar. nauch.-prakt. konf. = New ideas in Earth sciences: Proceedings of the 16th International scientific and practical conference. 06–07 April 2023, Moscow. Moscow; 2023, p. 213-216. (In Russ). EDN: BQAGMG.

3. Boyarkin G.A. The execution of topographic and geodetic activities by modern methods. Nauchnoe Obozrenie. 2016;1:1-9. (In Russ). EDN: UYVOYR.

4. Parshin A.V. Prospects of using drones for geological exploration of ore deposits at Baikal mountainous area. Voprosy Estestvoznaniya. 2015;2:97-101. (In Russ). EDN: UZEJXX.

5. Polynkin A.V., Le H.T. Analysis of characteristics of UAV communication link. Proceedings of the TSU. 2013; 7-2:98-107. (In Russ). EDN: RNKKQD.

6. Voitenko K.I., Zelensky V.P. Using a systematic approach in the development of a GLONASS, GPS signal relay device. In: Sistemnyi analiz v proektirovanii i upravlenii: sb. nauch. tr. XXIII Mezhdunar. nauch.-prakt. konf. = System analysis in design and control: collected scientific papers of the 23d International scientific and practical conference. 10–11 June 2019, Saint Petersburg. Saint Petersburg; 2019, iss. 1, p. 385-391. (In Russ). EDN: HDSJYQ.

7. Parshin A.V., Bydyak A.E., Blinov A.V., Kosterev A.N., Morozov V.A., Mikhalev A.O., et al. Low-altitude unmanned aeromagnetic survey in management of large-scale structural-geological mapping and prospecting for ore deposits in composite topography. Part 1. Geography and Natural Resources. 2016;6:144-149. (In Russ). http://doi.org/10.21782/GIPR0206-1619-2016-6(144-149). EDN: XQRZBH.

8. Parshin A.V., Bydyak A.E., Blinov A.V., Kosterev A.N., Morozov V.A., Mikhalev A.O., et al. Low-altitude unmanned aeromagnetic survey in management of large-scale structural-geological mapping and prospecting for ore deposits in composite topography. Part 2. Geography and Natural Resources. 2016;6:150-155. (In Russ). http://doi.org/10.21782/ GIPR0206-1619-2016-6(150-155). EDN: XQRZBR.

9. Terehin S.N., Sineshyk Yu.I. Analysis of systems of satellite radionavigation, being based on different methods of retransmitting. Bulletin of the St. Petersburg University of the State Fire Service of the Ministry of Emergency Situations of Russia. 2011;4:42-47. (In Russ). EDN: PFFRIJ.

10. Mitrokhin V.E., Zinoviev N.V. The use of passive repeaters to improve radio communications in complex electromagnetic environment. Journal of Transsib Railway Studies. 2021;1:142-148. (In Russ). EDN: IAZSNV.

11. Yerzhankyzy A., Shults R., Levin E., Orynbassarova E.O. Using aerial survey data set for terrestrial laser scanning referencing. Interexpo Geo-Siberia. 2018;10:69-74. (In Russ). EDN: YQHESD.

12. Shirokova T.A., Antipov A.V., Arbuzov S.A. Area change detection using laser scanning data. Interexpo Geo-Siberia. 2012;1(4):39-46. (In Russ). EDN: PCYYNL.

13. Whitehead K., Hugenholtz C.H. Remote sensing of the environment with small unmanned aircraft systems (UASs), part 1: a review of progress and challenges. Journal of Unmanned Vehicle Systems. 2014;2(3):69-85. http://dx.doi.org/10.1139/juvs-2014-0006.

14. Varfolomeev A.F., Chudaikina O.Yu. RTK mode of global positioning systems of GPS and GLONASS for topographical works. Ogarev-online. 2015;4:1-8. (In Russ). EDN: TNDBYJ.

15. Misirov S.A., Bespalova L.A., Magaeva A.A., Bespalova E.V. Investigation of the ravine-beam network of the southern coast of the Taganrog Bay using unmanned aerial vehicles. Bulletin of Higher Education Institutes. North Caucasus Region. Natural Sciences. 2019;4:77-83. (In Russ). https://doi.org/10.23683/0321-3005-2019-4-77-83. EDN: BWCPDF.

16. Shatalov N.V. Classification features of aircraft-type UAVs. Perspektivy Razvitiya Informatsionnykh Tekhnologii. 2016;29:34-49. (In Russ). EDN: VVUFEX.

17. Kuznetsov D.A., Mitroshina P.O., Sagdeev A.K., Semin A.A. Constructions feature of radio channel with unmanned aerial vehicle. Proceedings of Telecommunication Universities. 2016;2(2):82-88. (In Russ). EDN: OFRIYL.

18. Parshin A.V., Blinov A.V., Kosterev A.N., Budyak A.E., Morozov V.A. Low-altitude geophysical magnetic prospecting based on multirotor UAV as a promising replacement for traditional ground survey. Geo-spatial Information Science. 2018;21(1):67-74. https://doi.org/10.1080/10095020.2017.1420508. EDN: XXHXRZ.

19. Kokoreva E.V., Kostyukovich A.E. Results of positioning system field tests in the WI-FI network. Economics and Quality of Communication Systems. 2021;3:64-71. (In Russ). EDN: EWYYZC.

20. Lavrukhin V.A., Lezhepekov A.S., Vladyko A.G. Experimental testbed for access point selection in IoT Wi-Fi networks. Proceedings of Telecommunication Universities. 2017;3(2):102-112. https://doi.org/10.31854/1813-324x-2017-3-2-102-112. EDN: YTXOSV.

21. Panov I. Radio interference and how to deal with it. T-Comm. 2009;5:22-28. (In Russ). EDN: KXXKBR.


Review

For citations:


Erofeev V.V., Kosterev A.N., Valkova E.D., Matytsin V.V. Radio telemetry signal quality enhancement system to improve Earth remote sensing using unmanned aerial vehicles efficiency in real-time kinematics mode. Earth sciences and subsoil use. 2024;47(3):316-328. (In Russ.) https://doi.org/10.21285/2686-9993-2024-47-3-316-328. EDN: VKUYSI

Views: 152


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2686-9993 (Print)
ISSN 2686-7931 (Online)