APPLICATION OF SOFTWARE DEFINED RADIO FOR RADIO EMISSION SOURCE DIRECTION FINDING AND TRACKIN

Authors

  • Olga Shcherbyna State University "Kyiv Aviation Institute", Kyiv, Ukraine
  • Fedir Katushonok State University "Kyiv Aviation Institute", Kyiv, Ukraine
  • Oleksandr Zadorozhnyi State University "Kyiv Aviation Institute", Kyiv, Ukraine

DOI:

https://doi.org/10.18372/2310-5461.65.19932

Keywords:

radio emission source, amplitude and phase direction-finding methods, software defined radio, antenna system, radiation pattern

Abstract

Recently, accurate positioning of objects in space has gained significant importance, encompassing various fields, both civil and military. The position of a radio emission source (RES) can be static or dynamic, single or multi-position, friendly or hostile. The function of detecting and tracking a radio signal source (direction finding function) is often the most critical component of modern radio systems and complexes for detection, ranging, monitoring, navigation, control, and communication. The performance of these systems directly depends on the quality characteristics of the direction-finding part. Among the main characteristics of such systems are the operating frequency range, direction-finding accuracy, and the range of angles for unambiguous measurements, which require particularly high standards, especially when applying direction finding for unmanned aerial vehicle (UAV) systems. Software-defined radio (SDR) is a radio device in which most physical functions are implemented in software, and hardware functions are quickly modified according to the requirements of the communication standard. Due to the software implementation of most high-frequency signal processing functions and flexible software control, SDR provides significant enhancement of functional capabilities by operating in a wide frequency range and for various communication standards. The SDR device is known for its flexible configuration, accessibility, and speed, and is often used for various tasks in research and signal processing of radio communication, for example, communication network research, data telemetry programs, and angle of arrival (AoA) measurement programs. Combining antenna arrays with SDR technology allows for the implementation of adaptive antenna systems with digital signal processing that can effectively analyze the interference environment and manage radiation pattern of an antenna array to improve user interaction while simultaneously suppressing unwanted interference sources. This combination enables the rapid calculation of weighting coefficients based on data about the angular position of the sources of useful signals and interference signals, thereby improving communication quality and suppressing unwanted interference sources.

Author Biographies

Olga Shcherbyna, State University "Kyiv Aviation Institute", Kyiv, Ukraine

Doctor of Technical Sciences, Professor, 

Fedir Katushonok, State University "Kyiv Aviation Institute", Kyiv, Ukraine

Postgraduate

Oleksandr Zadorozhnyi, State University "Kyiv Aviation Institute", Kyiv, Ukraine

Candidate of Technical Sciences, Associate Professor

References

Zhyla S., Tserne E., Volkov Y., Shevchuk S., Gribsky O., Vlasenko D., Kosharskyi V., Kovalchuk D. Statistical Synthesis and Analysis of Functionally Deterministic Signal Processing Techniques for Multi-Antenna Direction Finder Operation. Com-putation, 2024, Vol. 12, No. 9, p. 170.

DOI:10.3390/computation12090170.

Martian A., Paleacu C., Marcu I.M., Vladeanu C. Direction-Finding for Unmanned Aerial Vehicles Using Radio Frequency Methods. Measurement, 2024, Vol. 235, р. 114883.

DOI:10.1016/j.measurement.2024.114883.

Rutkowski A, Kawalec A. Some of Problems of Direction Finding of Ground-Based Radars Using Monopulse Location System Installed on Unmanned Aerial Vehicle. Sensors, 2020, Vol. 20, No. 18, p. 5186. DOI:10.3390/s20185186.

Cook H.A., Kahn K.M.T.E. and Balyan V. Radio Direction-Finding Techniques for an Unmanned Aerial Vehicle. In: Sharma D.K., Balas V.E., Son L.H., Sharma R., Cengiz K. (eds). Micro-Electronics and Telecommunication Engineering, Lecture Notes in Networks and Systems, Springer, Singapore, 2020, Vol. 106, pp. 1-10. DOI:10.1007/978-981-15-2329-8_1.

Bae I, Hong J. Survey on the Developments of Unmanned Marine Vehicles: Intelligence and Cooperation. Sensors, 2023, Vol. 23, No. 10, p. 4643. DOI:10.3390/s23104643.

Hussein Z., Francois S., Oumaya B. and Thierry, V. SYLOIN: Measuring Angle of Arrival of LoRa Signals Using Software Defined Radio. In: International Conference on Indoor Positioning and Indoor Navigation (IPIN), Lloret de Mar, Spain, 2021, pp. 1-8. DOI:10.1109/IPIN51156.2021.9662518.

Dai Z., He Y., Tran V., Trigoni N. and Markham A. DeepAoANet: Learning Angle of Arrival from Software Defined Radios with Deep Neural Networks. IEEE Access, 2022, Vol. 10, pp. 3164–3176. DOI:10.1109/ACCESS.2021.3140146.

Tuğrel H. B., Alakoca H., Kurt G. K. and Ayyıldız C. Angle of Arrival (AoA) Estimation by Using Software Defined Radios. In: 24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 2016, pp. 1429-1432, DOI:10.1109/SIU.2016.7496018.

Zheng Y., Tseng S.-M. and Yu K.-B. Closed-form Four-channel Monopulse Two-target Resolution. IEEE Transactions on Aerospace and Electronic Systems, 2003, Vol. 39, No. 3, pp. 1083-1089. DOI:10.1109/TAES.2003.1238760.

Wong K. T. and Zoltowski M. D. Self-initiating MUSIC-based Direction Finding and Polarization Estimation in Spatio-polarizational Beamspace. IEEE Transactions on Antennas and Propagation, 2000, Vol. 48, No. 8, pp. 1235-1245. DOI:10.1109/8.884492.

Badawy A., Khattab T., Trinchero D., Elfouly T. M. and Mohamed A. A Simple Cross Correlation Switched Beam System (XSBS) for Angle of Arrival Estimation. IEEE Access, 2017, Vol. 5, pp. 3340-3352. DOI:10.1109/ACCESS.2017.2669202.

Zeng X., Yang M., Chen B. and Jin Y. Estimation of Direction of Arrival by Time Reversal for Low-Angle Targets. IEEE Transactions on Aerospace and Electronic Systems, 2018, Vol. 54, No. 6, pp. 2675-2694. DOI:10.1109/TAES.2018.2828200.

Li J. and Fan M. Jamming Suppression in Downlink NOMA Using Independent Component Analysis. In: IEEE 19th International Conference on Communication Technology (ICCT), Xi'an, China, 2019, pp. 164-168.

DOI:10.1109/ICCT46805.2019.8947299.

Ільницький Л.Я., Сібрук Л.В., Слободянюк П.В., Благодарний В.Г. Антени телекомунікаційних та моніторингових систем / за ред. Л.Я. Ільницького. Київ: Видавництво УДЦР, 2012. 240 с.

Yan E. et al. Improving Accuracy of an Amplitude Comparison-Based Direction-Finding System by Neural Network Optimization. IEEE Access, 2020, Vol. 8, pp. 169688-169700. DOI:10.1109/ACCESS.2020.3024031.

Bakhvalov V., Zhyrov G., Khrashchevsky R., Romanenko E. and Druzhynin V. Phase Direction Finding Radio Engineering System. In: IEEE 6th International Conference on Actual Problems of Unmanned Aerial Vehicles Development (APUAVD), Kyiv, Ukraine, 2021, pp. 200-203. DOI:10.1109/APUAVD53804.2021.9615434.

BladeRF 2.0 micro xA4 SDR трансівер 47 МГц-6 ГГц 49 КЛЕ ПЛІС URL: https://selteq.com.ua/bladerf-2-0/?srsltid=AfmBOornkKw8jRcoTQRsNHyO6gLIQOFnbLUW3QZ_ZB9tjhAVteLjNDzf (дата звернення 25.02.2025)

Shcherbyna O., Zadorozhniy R. The Log-Periodic Dipole Array Antenna for Monitoring. In: 14th International Conference on Advanced Trends in Radioelecrtronics, Telecommunications and Computer Engineering (TCSET), Lviv-Slavske, Ukraine, 2018, pp. 583-586. DOI:10.1109/TCSET.2018.8336270.

Shcherbyna O., Zadorozhnyi O., Stetsyshin O. Passive Antenna Arrays in UAV Communication Systems. International Journal of Computer Network and Information Security (IJCNIS), 2024, Vol. 16, No. 4, pp.31–51. DOI:10.5815/ijcnis.2024.04.03.

Polikarovskykh O. and Hula I. Implementing the Search Algorithm of the Correlation Interferometer Direction Finder through the GNU Radio Software Platform. SISIOT, 2023, Vol. 1, No. 2, p. 02006, DOI:10.31861/sisiot2023.2.02006

Published

2025-05-15

How to Cite

Shcherbyna, O., Katushonok, F., & Zadorozhnyi, O. (2025). APPLICATION OF SOFTWARE DEFINED RADIO FOR RADIO EMISSION SOURCE DIRECTION FINDING AND TRACKIN. Science-Based Technologies, 65(1), 116–124. https://doi.org/10.18372/2310-5461.65.19932

Issue

Section

Electronics, telecommunications and radio engineering