Аnalysis of frequency-time structure of acoustic noise of small automatic air systems


  • В.И. Леонидов
  • В.В. Семенец




automatic air systems, acoustic noise, correlation analysis, signal model, classifying feature.


The statement of the problem of detecting small automatic air systems (drones) is formulated, the expediency of building a drone detection system on the principle of receiving and analyzing acoustic signals emitted by drones during their flight mission is substantiated.

The study of temporal fluctuations of the period of the acoustic signals of the drone is carried out by the method of model-correlation analysis, as a result of which three-dimensional structures are formed: time – period – the correlation coefficient of the acoustic signal with the model in the form of a sinusoidal function limited in time.

The resulting structures are formed as matrices of correlation coefficient values.

The members located along the columns are calculated with the time shift of the model function along the signal sample. The members in each column are calculated for a constant period of the model function set from a number of values.

It is shown that the correlation coefficients between the matrix rows calculated from the drone signals are significantly higher than the same values obtained from the background noise measurements. The functions showing the change in time of the correlation coefficients between the rows of the matrices of the time – period structures for drone signals and background noise do not intersect and show a consistently large difference in the correlation coefficients, which allows the correlation coefficient to be used as a classifying feature when recognizing drone signals.


Kloet N., et al. Acoustic signature measurement of small multi-rotor unmanned aircraft systems // International Journal of Micro Air Vehicles. 2017. 9(1). Р.3–14.

Stimpson A., et al. Small UAV Noise Analysis. Humans and Autonomy Laboratory, Duke University, Durham, NC, USA. 2017. April 26, 12 pp. Available at https://hal.pratt.duke.edu/sites/hal.pratt.duke.edu/files/u24/Small_UAV_Noise_Analysis_rqi.pdf.

Leslie A. et al. Broadband noise reduction on a mini-UAV propeller // 14th AIAA/CEAS aeroacoustic conference, Geelong, Victoria, Australia, 2008. Available at https://www.semanticscholar.org/paper/Broadband-Noise-reduction-from-a-mini-UAV-propeller-Auld-Leslie/aa8f1514d96bd711bea00880afdb8050800037bc.

Brown J. What Is A Drone: Main Features and Applications of Today’s Drones. Available at https://www.mydronelab.com/blog/what-is-a-drone.html.

King E., et al. Bee threat elicits alarm call in African elephants // PLoS One. 2010. vol. 5, no. 4. Р. e10346. Available at https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0010346.

Anderson, K., and Gaston, K. Lightweight unmanned aerial vehicles will revolutionize spatial ecology // Frontiers in Ecology and the Environment. 2013. vol. 11, no. 3. Р. 138146.

Feight, J. (2017). Characterization of a Multi-Rotor SUAS as a First Step Towards Detection and Identification via Acoust. Available at https://shareok.org/handle/11244/300026.

Карташов В. М. Информационные характеристики звукового излучения малых беспилотных лета-тельных аппаратов / В.М. Карташов, С.А. Шейко, С.И. Бабкин, И.В. Корытцев, О.В. Зубков // Радиотехника. 2017. Вып. 191. С. 181-187.

Козерук С. О., Коржик О. В. Виявлення малих лiтальних апаратiв за акустичним випромінюванням // Visnyk NTUU KPI Seriia – Radiotekhnika Radioaparatobuduvannia. 2019. Iss. 76. Р. 15–20.

Semenetz V.V., Leonidov V.I. Model-structural analysis of combination interference in the problems acoustic sounding of the atmosphere // Telecommunications and Radio Engineering. 2019. Vol. 78, Issue 12. pages 1078-1095. DOI: 10.1615/TelecomRadEng.v78.i12.60 pages 1087-1095, 2019.

Леонидов В.И., Семенец В.В. Особенности амплитудно-временной структуры помех в системах акустического зондирования атмосферы // Радиотехника: 2019. Вып. 197. С. 93 – 99.

Leonidov V.I. Analysis of the models and structure of echo signals of the atmospheric acoustic sounding // Telecommunications and Radio Engineering. 2014. 73(16). Р. 1497-1502.

How to Cite

Леонидов, В., & Семенец, В. (2020). Аnalysis of frequency-time structure of acoustic noise of small automatic air systems. Radiotekhnika, 3(202), 147–152. https://doi.org/10.30837/rt.2020.3.202.15




Most read articles by the same author(s)