Correlation direction finder for small aircraft
DOI:
https://doi.org/10.20535/RADAP.2019.79.41-47Keywords:
small aircraft, correlation direction finder, detection characteristics, maximum detection rangeAbstract
Introduction. Small aircraft (SA), or drones, are used in various areas of society, for example, to inspect agriculture and forestry, monitor traffic, and transport small loads. SA are increasingly appearing near airports, power stations, warehouses, and private estates, and may pose a danger to both public and private interests. Detection of SA becomes an urgent problem. The development of SA direction finding devices with given detection characteristics and the predicted detection distance is of practical interest.
Theoretical results.For the detection of SA is proposed to use the method of correlation direction finding. Acoustic radiation of a drone is considered as a localized broadband noise process. Interference - acoustic noise in the area of application of the detection means is considered as an isotropic normal process. A comparison of detection characteristics (DC) for the correlation direction finder (CDF) and quadratic detector (QD) is given. The calculated detection parameters demonstrate the advantage of the CDF in signal detection of 6 dB, which leads to an increase in the detection range of the SA.
Conclusions.For the detection of drones using acoustic radiation, a correlation direction finder was used. The algorithm for calculating the characteristics of the detection of the noise signal by a correlation direction finder depending on the receiver settings is given. A theoretical comparison of the characteristics of the CDF and QD is given. The gain of the correlation direction finder is established when detecting weak noise signals of approximately 6 dB, which leads to an increase in the detection range. Experimental studies of the direction finding quadcopter Phantom 3 standard correlation receiver confirmed the theoretical prediction.
References
Перелік посилань
DroneLabs. Available at: http://www.drone-detector.com
Cabell R. Measured Noise from Small Unmanned Aerial Vehicles / R. Cabell, R. M. Swain. NoiseCon16, Providence, Rhode Island, 871 p. Available at: https://www.ingentaconnect.com/contentone/ince/incecp/2016/00000252/00000002/art00041#expand/collapse
Sadasivan S. Acoustic Signature of an Unmanned Air Vehicle – Exploitation for Aircraft Localisation and Parameter Estimation / S.Sadasivan, M.Gurubasavaraj, S. RaviSekar // Еronautical DEF SCI J. – 2001. – Vol 51, No 3. – р. 279-283.
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.
Massey K. Noise measurements of tactical UAVs // 16th AIAA/CEAS aeroacoustics conference. - p. 391.
Koзерук С.O. Виявлення малих лiтальних апаратiв за акустичним випромiнюванням / С.O. Koзерук, О.В. Коржик // Вісник НТУУ "КПІ". Серія Радіотехніка, Радіоапаратобудування. – 2019. – №. 76. – С. 15-20.
Finn А. Acoustic Sense & Avoid for UAV’s / А. Finn, S. Franklin, // 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing. - 2011. - pp. 586-589.
Case E. E. Low-cost acoustic array for small UAV detection and tracking / E. E. Case, A. M. Zelnio, B. D. Rigling // Aerospace and Electronics Conference. - 2008. - Available at: https:// ieeexplore.ieee.org/abstract/document/4806528
Pham T. Acoustic detection and tracking of small low-flying threataircraft / T. Pham, L. Sim, // 23rd Army Science Conference. - 2002.
Damarla Т. Battlefield Acoustics / T. Damarla // Springer International Publishing – 2015. – 262p.
Ольшевский В.В. Статистические методы в гидролокации / В.В. Ольшевский. - Л. : Судостроение, 1973. - 184 с.
Phantom 3 standard. Available at: https://www.dji.com/phantom-3-standard/info/
References
DroneLabs. Available at: http://www.drone-detector.com
Cabell R. and Swain R. M. (2016) Measured Noise from Small Unmanned Aerial Vehicles, NoiseCon16, Providence, Rhode Island, 871 p.
Sadasivan S., Gurubasavaraj M. and Sekar S.R. (2001) Acoustic signature of an unmanned air vehicle exploitation for aircraft localisation and parameter estimation. Defence Science Journal, Vol. 51, Iss. 3, pp. 279-284. DOI: 10.14429/dsj.51.2238
Kartashov V. M., Oleynikov V. N., Sheyko S. A., Babkin S. I., Koryttsev I. V., Zubkov O. V. and Anokhin M. A. (2017) Informatsionnye kharakteristiki zvukovogo izlucheniya malykh bespilotnykh letatel'nykh apparatov [Information Characteristics of the Sound Emission of Small Unmanned Aerial Vehicles]. Radiotekhnika, Iss. 191, pp. 181-187.
Massey K. and Gaeta R. (2010) Noise Measurements of Tactical UAVs. 16th AIAA/CEAS Aeroacoustics Conference. DOI: 10.2514/6.2010-3911
Kozeruk S. O. and Korzhyk O. V. (2019) Detection Small Aircraft by Acoustic Radiation, Visnyk NTUU KPI Seriia - Radiotekhnika Radioaparatobuduvannia, Iss. 76, pp. 15-20. DOI: 10.20535/RADAP.2019.76.15-20
Finn A. and Franklin S. (2011) Acoustic sense. 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing. DOI: 10.1109/issnip.2011.6146555
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. DOI: 10.1109/naecon.2008.4806528
Pham T. and Sim L. (2002) Acoustic Data Collection of Tactical Unmanned Air Vehicles (TUAVs). DOI: 10.21236/ada410088
Damarla T. (2015) Battlefield Acoustics. DOI: 10.1007/978-3-319-16036-8
Olshevskiy V.V. (1973) Statisticheskie metody v gidrolokatsii [Statistical methods in sonar]. Leningrad, Sudostroenie, 184 p.
Phantom 3 standard. Available at: https://www.dji.com/phantom-3-standard/info/
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