RT Journal Article ID 3b31af5c4ad3ba64 A1 Kartashov, Vladimir M. A1 Oleynikov, Volodimir M. A1 Sheyko, S. A. A1 Babkin, Stanislav I. A1 Koryttsev, I. V. A1 Zubkov, O. V. T1 PECULIARITIES OF SMALL UNMANNED AERIAL VEHICLES DETECTION AND RECOGNITION JF Telecommunications and Radio Engineering JO TRE YR 2019 FD 2019-05-23 VO 78 IS 9 SP 771 OP 781 K1 detection K1 recognition K1 unmanned aerial vehicles K1 acoustic noise AB Review and analysis of methods for detection and recognition of unmanned aerial vehicles (UAVs) are carried out. The channels for the detection of UAVs - acoustic, optical, radar, infrared, radio channel are discussed. The advantages and disadvantages of the channels used are compared and appreciated. In the case of small UAVs, there are a number of significant difficulties and limitations. One of the directions in the UAVs detection is acoustic observation. The noise generated by the UAV propulsion system and the air propeller is a significant damasking feature. Creating and improving methods for detecting, guiding and recognizing small UAVs by the reception and processing their sound signals is an urgent task. When using such a method of detecting UAVs, frequency spectra, spectrograms, normalized autocorrelation functions, and phase portraits of acoustic signals are used. Estimates of spectral coefficients, determined by a discrete realization containing a predetermined number of samples, as well as parameters of autoregression models can serve as information signs of the UAVs sound image. PB Begell House LK https://www.dl.begellhouse.com/journals/0632a9d54950b268,3edad39d3e7a4a86,3b31af5c4ad3ba64.html