COMBINING MEASUREMENTS IN THE AIRBORNE DIRECTION FINDER AS PART OF THE UAV AUTONOMOUS NAVIGATION SYSTEM

Authors

  • E. Tserne
  • C. Zhyla
  • A. Popov
  • Ye. Volkov
  • S. Shevchuk
  • O. Hrybskyi
  • D. Vlasenko
  • V. Kosharskyi
  • D. Kovalchuk

DOI:

https://doi.org/10.26906/SUNZ.2024.4.011

Keywords:

direction finder, statistical synthesis of algorithms, complexing of measurements, simulation modeling

Abstract

The article is devoted to the development of a method of operation of an inexpensive, simple in realization, but at the same time highly accurate on-board direction finder that determines the angular position of radio emission sources for further autonomous navigation of UAVs. The aim of the article is to create a high-precision method of complexing measurements in the onboard direction finder located on autonomous guided UAVs, to provide practical recommendations for its algorithmic implementation and to carry out approbation of the main signal processing operations by simulation modeling methods. The objectives of the research include: 1) analysis of the statistical theory of optimization of signal processing algorithms in radio measurement systems; 2) development of algorithms for direction finding of radio sources capable of providing high accuracy in a wide range of observation angles; 3) synthesis of the structural scheme of the direction finder; 4) simulation modeling of the main algorithmic operations and evaluation of the accuracy of angular position measurement. Obtained result: theoretical developments of the method are confirmed, which due to the complexing of measurements from two-antenna amplitude direction finder with narrow diagrams, two-antenna direction finder with wide diagrams and two-antenna phase direction finder is able to overcome the contradiction between high accuracy and wide range of unambiguous measurements. Field of application: the obtained results are a theoretical basis for further experimental development of radio direction finders for various purposes, reveal the theoretical basis for the synthesis of methods of complexing measurements in radio systems for various purposes, and also contribute to improving the autonomy of flights of UAVs.

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References

Johnson, R., Smith, L. Aviation Navigation Systems: Air-Ground and Onboard Equipment. IEEE Aerosp. Electron. Syst. Mag. 2019, 34, 45-58. doi:10.1109/MAES.2019.8816743

Brown, J., Davis, K. Advances in Aircraft Radio Systems. Sensors 2020, 20, 2564. doi:10.3390/s20092564

Thompson, G., Liu, M. Unmanned Aerial Vehicles (UAVs): Applications and Control. In Advances in Unmanned Aerial Vehicles: Applications and Control; Springer: Cham, Switzerland, 2021; pp. 15-35. doi:10.1007/978-3-030-50539-7_2

Singh, K.P.; Kumar, M.B.; Patel, R.G. Autonomous Landing of Unmanned Aerial Vehicles Using Radio Beacons. J. Aerospace Eng. 2022, 35(4), 04021014. https://doi.org/10.1061/(ASCE)AS.1943-5525.0001365

Williams, D., O'Connell, P. Amplitude Comparison Direction Finding Systems for Modern Radar Applications. Int. J. Microw. Wirel. Technol. 2021, 13, 125-138. doi:10.1017/S1759078720001530

Li, Y.; Liu, W.; Zhang, X. Time Delay Estimation for Direction Finding in Radar Systems. IEEE Trans. Signal Process. 2022, 70, 3054-3065. doi:10.1109/TSP.2022.3154778

Nguyen, A., Zhang, Q. Spatial Spectrum Estimation Techniques in Radar and Communication Systems. IEEE Commun. Surv. Tutor. 2022, 24, 654-671. doi:10.1109/COMST.2022.3174761

Kumar, V., Patel, R. Interferometric Techniques in Modern Radar Systems. IEEE Trans. Antennas Propag. 2022, 70, 985-999. doi:10.1109/TAP.2022.3141859

Andersson, P., Wilson, H. Doppler Direction Finding: Techniques and Challenges. J. Electromagn. Waves Appl. 2021, 35, 1367-1382. doi:10.1080/09205071.2021.1902347

Garcia, M., Lee, J. Correlation-Interferometric Direction Finding in Complex Environments. Electronics 2023, 12, 1123. doi:10.3390/electronics12051123.

Volosyuk, V.; Zhyla, S. Statistical Theory of Optimal Functionally Deterministic Signals Processing in Multichannel Aerospace Imaging Radar Systems. Computation 2022, 10, 213. https://doi.org/10.3390/computation10120213

Volosyuk, V.; Zhyla, S. Statistical Theory of Optimal Stochastic Signals Processing in Multichannel Aerospace Imaging Radar Systems. Computation 2022, 10, 224. https://doi.org/10.3390/computation10120224

Volosyuk, V.K.; Kravchenko, V.F. Statisticheskaya Teoriya Radiotekhnicheskikh Sistem Distantsionnogo Zondirovaniya i Radiolokatsii. Fiziko-Matematicheskaya Literatura: Moscow, Russia, 2008; 704 p.

Published

2024-11-28

Issue

Section

Navigation and Geoinformation systems