Detection, Localization, and Identification of Small Aircraft by Acoustic Radiation

Authors

DOI:

https://doi.org/10.20535/RADAP.2022.89.29-38

Keywords:

unmanned aerial vehicles, direction finding, identification

Abstract

Introduction. Small unmanned aerial vehicles (UAV), or drones, have recently been increasingly used in community service: environmental monitoring services, protection of territories and facilities, postal and courier services, and household services for individual needs. The growth of the drone market and their high availability is having the opposite effect, as more and more opportunities are being created for the use of small aircraft in criminal and terrorist acts. There is a need to develop means of monitoring the airspace of the location and identifcation of the drone in the presence of natural and industrial obstacles. The paper considers some approaches to localization and identifcation of small aircraft by their acoustic radiation.
Theoretical Results. A number of methods and ways
to detect, localize, and identify MLA by acoustic radiation were considered. The advantages and disadvantages of some methods are identifed and a sequence of solutions is proposed: to conduct observations by the method of controlled
correlation spatial characteristics; decision-making on the detection of the drone to be carried out by the energy method according to the predetermined characteristics of the detection; identifcation of the emitter should be carried out taking into account the correspondence of the number of motors and the range of frequencies of their rotation in the flight
mode the number of fundamental frequencies in the spectral signature.
Experiment. Verifcation of the proposed algorithm was carried out according to experimental data given in  [9]. The results of processing the records made in the above sequence can be assessed as satisfactory. Determining the angle of arrival of the sound wave according to the directionfnding was close to the expected 90o. The aircraft was identifed as a drone at a maximum detection distance 90 m, and the UAV as a quadcopter began to be classifed from 20 m.

References

Перелік посилань

Birch G. C. UAS Detection, Classification, and Neutralization: Market Survey 2015 / G. C. Birch, J. C. Griffin, M. K. Erdman // Sandia Rep. — 2015. — С. 74. https://doi.org/10.2172/1222445.

Park S. Survey on Anti-Drone Systems: Components, Designs, and Challenges / S. Park, H. T. Kim, S. Lee, H. Joo, H. Kim // IEEE Access. — 2021. — T. 9. — С. 42635-42659. doi: 10.1109/ACCESS.2021.3065926.

Sinibaldi G. Experimental analysis on the noise of propellers for small UAV / G. Sinibaldi, L. Marino // Applied Acoustics. — 2013. — T. 74, №. 1. — С. 79-88. doi:10.1016/j.apacoust.2012.06.011

Cabell R. Measured Noise from Small Unmanned Aerial vehicles / R. Cabell , F. Grosveld , R. McSwain // Inter-Noise and Noise-Con Congress and Conference Proceedings. — Institute of Noise Control Engineering, 2016. — Т. 252, №. 2. — С. 345-354.

Карташов В. М. Информационные характеристики звукового излучения малых беспилотных летательных аппаратов / В. М. Карташов, В. Н. Олейников, С. А. Шейко, С. И. Бабкин, И. В. Корытцев, О. В. Зубков, М. А. Анохин // Радиотехника. — 2017. — Вып. 191. — С. 181-187. https://openarchive.nure.ua/handle/document/5740.

Державні будівельні норми України. Захист територій, будинків і споруд від шуму ДБН В.1.1-31:2013. БУДСТАНДАРТ Online.

Koзерук С. O., Коржик О. В. Виявлення малих лiтальних апаратiв за акустичним випромiнюванням // Вісник НТУУ ''КПІ''. Серія Радіотехніка, Радіоапаратобудування. — 2019. — №. 76. — С. 15-20. http://radap.kpi.ua/radiotechnique/article/view/1537.

Mandal S. Acoustic Detection of Drones through Real-time Audio Attribute Prediction / S. Mandal, L. Chen, V. Alaparthy, M. L. Cummings // AIAA Scitech 2020 Forum. — 2020. — С. 491. https://doi.org/10.2514/6.2020-0491.

Koзерук С. O., Коржик О. В. Кореляційний пеленгатор малих літальних апаратів // Вісник НТУУ ''КПІ''. Серія Радіотехніка, Радіоапаратобудування. — 2019. — №. 79. — С. 41-47. DOI: https://doi.org/10.20535/RADAP.2019.79.41-47.

Benyamin M. and Goldman G. H. Acoustic Detection and Tracking of a Class I UAS with a Small Tetrahedral Microphone Array // Army Research Laboratory, Adelphi, MD 20783-1138. — 2014. — 26 p. https://apps.dtic.mil/sti/pdfs/ADA610599.pdf.

Козерук С. О., Коржик О. В., Воловик Д. І., Пуха Г. С. Акустичний модуль для пеленгування малих літальних апаратів // Вісник НТУУ ''КПІ''. Серія Радіотехніка, Радіоапаратобудування. — №.82, с. 25-34. doi: 10.20535/RADAP.2020.82.25-34.

Case E. E., Zelnio A. M. and Rigling B. D. Low-Cost Acoustic Array for Small UAV Detection and Tracking // 2008 IEEE National Aerospace and Electronics Conference. — 2008. — pp. 110-113. doi: 10.1109/NAECON.2008.4806528.

Harvey B., O’Young S. Acoustic Detection of a Fixed-Wing UAV // Drones. — 2018. — Т. 2, №. 1. — С. 4. doi:10.3390/drones2010004.

Mezei J., Molnár A. Drone sound detection by correlation // 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI). — 2016. — С. 509-518. DOI: 10.1109/SACI.2016.7507430.

Bernardini A., Mangiatordi F., Pallotti E., Capodiferro L. Drone detection by acoustic signature identification // Electronic Imaging. — 2017. — Vol. 10. — C. 60-64. DOI:10.2352/ISSN.2470-1173.2017.10.IMAWM-168.

Олейников В. Н. и др. Исследование эффективности обнаружения и распознавания малоразмерных беспилотных летательных аппаратов по их акустическому излучению // Радиотехника. — 2018. — Т. 4, №. 195. — С. 209-217. https://nure.ua/wp-content/uploads/2018/Scientific_editions/rvmnts_2018_195_23.pdf.

Sedunov A. et al. Stevens Drone Detection Acoustic System and Experiments in Acoustics UAV Tracking // 2019 IEEE International Symposium on Technologies for Homeland Security (HST). — 2019. — С. 1-7. doi: 10.1109/HST47167.2019.9032916.

References

Birch G. C., Griffin J. C., Erdman M. K. (2015). UAS Detection, Classification, and Neutralization: Market Survey 2015. SANDIA REPORT, 74 p. doi:10.2172/1222445.

Park S., Kim H. T., Lee S., Joo H. and Kim H. (2021). Survey on Anti-Drone Systems: Components, Designs, and Challenges. IEEE Access, Vol. 9, pp. 42635-42659. doi: 10.1109/ACCESS.2021.3065926.

Sinibaldi G., Marino L. (2013). Experimental analysis on the noise of propellers for small UAV. Applied Acoustics, Vol. 74, Iss. 1, pp. 79-88. doi:10.1016/j.apacoust.2012.06.011.

Cabell R., McSwain R., Grosveld F. (2016). Measured Noise from Small Unmanned Aerial Vehicles. Inter-Noise and Noise-Con Congress and Conference Proceedings, Institute of Noise Control Engineering, Vol. 252, Iss. 2, pp. 345-354.

Kartashov V. M. et al. (2017). Information characteristics of sound radiation of small unmanned aerial vehicles [Informacionnye harakteristiki zvukovogo izlucheniya malyh bespilotnyh letatel'nyh apparatov]. Radio engineering, Iss. 191, pp. 181-187. [In Russian].

State building regulations of Ukraine. Protection of territories, buildings and structures from noise DBN V.1.1-31:2013 [Derzhavni budivelni normy Ukrainy. Zakhyst terytorii, budynkiv i sporud vid shumu DBN V.1.1-31:2013]. BUDSTANDART Online. [In Ukrainian].

Kozeruk S. O., Korzhik O. V. (2019). Detection Small Aircraft by Acoustic Radiation. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, Vol. 76, pp. 15-20. [In Ukrainian].

Mandal S., Chen L., Alaparthy V., Cummings M. L. (2020). Acoustic Detection of Drones through Real-time Audio Attribute Prediction. AIAA Scitech 2020 Forum. doi:10.2514/6.2020-0491.

Kozeruk S. O., Korzhik O. V. (2019). Correlation direction finder for small aircraft. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, Vol. 79, pp. 41-47. doi: 10.20535/RADAP.2019.79.41-47. [In Ukrainian].

Benyamin M. and Goldman G. H. (2014). Acoustic Detection and Tracking of a Class I UAS with a Small Tetrahedral Microphone Array. Army Research Laboratory, Adelphi, MD 20783-1138, 26 p.

Kozeruk S. O., Korzhik O. V., Volovik D. I., Pukha G. S. (2020). Acoustic Module for Direction Finding of Small Aircraft. Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, Vol. 82, pp. 25-34. doi: 10.20535/RADAP.2020.82.25-34. [In Ukrainian].

Case E. E., Zelnio A. M. and Rigling B. D. (2008). Low-Cost Acoustic Array for Small UAV Detection and Tracking. 2008 IEEE National Aerospace and Electronics Conference, pp. 110-113, doi: 10.1109/NAECON.2008.4806528.

Harvey B., O’Young S. (2018). Acoustic Detection of a Fixed-Wing UAV. Drones, Vol. 2(1), 4. doi:10.3390/drones2010004.

Mezei J., Molnár A. (2016). Drone sound detection by correlation. 2016 IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI), pp. 509-518. DOI: 10.1109/SACI.2016.7507430.

Bernardini A., Mangiatordi F., Pallotti E., Capodiferro L. (2017). Drone detection by acoustic signature identification. Electronic Imaging, Vol. 10, pp. 60-64. DOI:10.2352/ISSN.2470-1173.2017.10.IMAWM-168.

Oleinikov V. N. et al. (2018). Study of the efficiency of detection and recognition of small-sized unmanned aerial vehicles by their acoustic radiation [Issledovanie effektivnosti obnaruzheniya i raspoznavaniya malorazmernyh bespilotnyh letatel'nyh apparatov po ih akusticheskomu izlucheniyu]. Radio engineering, Vol. 4, Iss. 195, pp. 209-217. [In Russian].

Sedunov A. et al. (2019). Stevens Drone Detection Acoustic System and Experiments in Acoustics UAV Tracking. 2019 IEEE International Symposium on Technologies for Homeland Security (HST), pp. 1-7, doi: 10.1109/HST47167.2019.9032916.

Published

2022-09-30

How to Cite

Козерук, С. О. and Коржик , О. В. (2022) “Detection, Localization, and Identification of Small Aircraft by Acoustic Radiation”, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, (89), pp. 29-38. doi: 10.20535/RADAP.2022.89.29-38.

Issue

Section

Telecommunication, navigation, radar systems, radiooptics and electroacoustics