Method for calculating probabilistic characteristics of the operation of navigation equipment for consumers of global navigation satellite systems under conditions of impact of simulated interference


Аuthors

Nerovny V. V.1, Korataev P. D.1, Oblov P. S.1, Tolstykh M. Y.2, 3*

1. Air force academy named after professor N.E. Zhukovskii and Y.A. Gagarin, Voronezh, Russia
2. Moscow State Linguistic University, Moscow, Russia
3. Kikot Moscow University of the Ministry of Internal Affairs of Russia, Moscow, Russia

*e-mail: marina_lion@mail.ru

Abstract

The article pertains to the scientific support for the development and integration processes of unmanned aerial vehicles that utilize signals from global navigation satellite systems for navigation. The primary advantage of these systems is their high navigation accuracy. However, they also have significant drawbacks, namely the vulnerability of global navigation satellite systems user navigation equipment to interference that mimics a genuine navigation signal. As a result of such interference, the equipment may mistake false signals for genuine ones, leading to errors in determining the location. The purpose of this scientific article is to develop and analyze a methodology for assessing the probability of correct functioning of unmanned aerial vehicles under complex interference conditions. A specific case is considered where the impact on the BPSK signal, which is used in navigation, is examined. Various types of spoofing interference can affect global navigation satellite systems user navigation equipment, reproducing false navigation information, increasing pseudorange measurement errors, or possessing a random structure. The study involves modeling the impact of spoofing interference on BPSK signal receivers using the Matlab/Simulink software environment. The results indicate that the probability of a successful spoofing attack meaning the use of a false signal as a genuine one depends on the interference-to-signal power ratio and the operating time of the user navigation equipment. Semi-Markov processes are used to model the functioning of user navigation equipment under challenging conditions, allowing for the consideration of various scenarios of state transitions within the system. The proposed methodology is evaluated as universal and adaptable to any navigation signals of satellite radionavigation systems, as it allows for the assessment of the probability of correct functioning of unmanned aerial vehicles under complex interference conditions and the determination of the effectiveness of the protective measures applied. The described approaches can be utilized for further research in enhancing the resilience of global navigation satellite systems navigation equipment to interference.

Keywords:

navigation equipment for consumers of global navigation satellite systems, navigation signal, simulating interference, probability of detection, methodology

References

  1. Solov'ev Yu.A. Sistemy sputnikovoi navigatsii (Satellite navigation systems). Moscow: Eko-trendz Publ., 2000. 268 p.
  2. Perov A.I., Kharisov V.N. GLONASS. Printsipy postroeniya i funktsionirovaniya (GLONASS. Principles of construction and operation). Moscow: Radiotekhnika Publ., 2010. 800 p.
  3. Kiryushkin V.V., Babusenko S.I., Korataev P.D., Nerovnyi V.V., Oblov P.S. Probabilistic characteristics of the navigation signal search and detection system in of simulating interference. Radiotekhnika. 2023. No. 7. P. 60-66. (In Russ.). DOI: https://doi.org/10.18127/j00338486-202307-07
  4. Ivanov V.F., Koshkarov A.S. Improving the noise immunity of GLONASS consumer navigation equipment by combining with inertial navigation sensors. Trudy MAI. 2017. No. 93. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=80455
  5. Romanov A.S., Turlykov P.Yu. Investigation of the effect of imitating interference on the equipment of consumers of navigation information. Trudy MAI. 2016. No. 86. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=66445
  6. Nerovnyi V.V., Korataev P.D., Oblov P.S., Tolstykh M.Yu. Characteristics of vulnerability of consumer equipment of global navigation satellite systems to spoofing attacks. Trudy uchebnykh zavedenii svyazi. 2023. V. 9, No. 6. P. 95-100. (In Russ.)
  7. Velikii A., Filatov S. Soldiers "from the palm" and "from the shoulder". Armeiskii sbornik. 2023. No. 1. P. 78-82. (In Russ.)
  8. Perov A.I. GLONASS. Modernizaciya i perspektivy razvitiya (GLONASS. Modernization and development prospects): monograph. Moscow: Radiotekhnika Publ., 2020. 1072 p.
  9. Kruzhkov D.M., Pasynkov V.V. Otechestvennaya global'naya navigatsionnaya sputnikovaya sistema GLONASS: osobennosti sozdaniya, razvitiya i ispol'zovaniya (Domestic global navigation satellite system GLONASS: features of creation, development and use). Moscow: MAI Publ., 2022. 111 p.
  10. Dixit S., Nagaria D. LMS adaptive filters for noise cancellation, International Journal of Electrical and Computer Engineering. 2017. V. 7, No. 5. P. 2520-2529. DOI: 10.11591/ijece.v7i5.pp2520-2529
  11. Mohinder S. Grewal, Lawernce R. Weill, Angus P. Andrews. Global Positioning Systems, Inertial Navigation, and Integration. John Wiley & Sons, Inc., 2001. DOI: 10.1002/9780470099728.ch3
  12. Harry L. Van Trees. Optimum Array Processing. New York, Wiley, 2002, 1400 p. DOI: 10.1049/sbew046e_ch3
  13. Golyakov A.D., Richnyak A.M., Fominov I.V. Investigation of the accuracy of navigation parameters of a spacecraft with an adaptive autonomous navigation system. Trudy MAI. 2022. No. 126. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=169009. DOI: 10.34759/trd-2022-126-23
  14. Chistyakov V.A. Algorithm of adaptive interference filtering in digital antenna arrays of satellite communications. Trudy MAI. 2019. No. 105. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=104239
  15. Koziratskii Yu.L. Modeli informatsionnogo konflikta sredstv poiska i obnaruzheniya: monografiya (Models of information conflict of search and detection tools: monograph). Moscow: Radiotekhnika Publ., 2013. 232 p.
  16. Ovakimyan D.N., Zelenskii V.A., Kapalin M.V., Ereskin I.S. Research of methods and development of algorithms for integration of navigation information. Trudy MAI. 2023. No. 132. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=176849
  17. Nerovnyi V.V., Oblov P.S., Korataev P.D. Probabilistic characteristics of navigation equipment for consumers of global navigation satellite systems in conditions of simulating interference. XXIX Mezhdunarodnaya nauchno-tekhnicheskaya konferentsiya, posvyashchennaya 70-letiyu kafedry radiofiziki VGU «Radiolokatsiya, navigatsiya, svyaz'»: sbornik trudov. Voronezh: VGU Publ., 2023. P. 47-54.
  18. Alex G Quinchia, Gianluca Falco, Emanuela Falletti, Fabio Dovis. A Comparison between different error modeling of MEMS applied to GPS. INS integrated systems. Italian National Conference on Sensor. 24 July 2013. V. 13, No. 3. P. 9549-9588. DOI: 10.3390/s130809549
  19. Aleshin B.S., Afonin A.A., Veremeenko K.K. Orientatsiya i navigatsiya podvizhnykh ob"ektov: sovremennye informatsionnye tekhnologii (Orientation and navigation of moving objects: modern information technologies). Moscow: Fizmatlit Publ., 2006. 421 p.
  20. Zubov N.P. Features of the use of high-speed attack unmanned aerial vehicles of medium range. Voennaya mysl'. 2024. No. 1. P. 37-44. (In Russ.)


Download

mai.ru — informational site MAI

Copyright © 2000-2024 by MAI

Вход