Peculiarities of small unmanned aerial vehicles detection and recognition

被引：0
作者：
Kartashov V.M. [1 ]
Oleynikov V.N. [1 ]
Sheyko S.A. [1 ]
Babkin S.I. [1 ]
Korytsev I.V. [1 ]
Zubkov O.V. [1 ]
机构：
[1] Kharkiv National University of Radio Electronics, 14 Nauka Ave., Kharkiv
来源：
Telecommunications and Radio Engineering (English translation of Elektrosvyaz and Radiotekhnika) | 2019年 / 78卷 / 09期
关键词：
Acoustic noise; Detection; Recognition; Unmanned aerial vehicles;
D O I：
10.1615/TelecomRadEng.v78.i9.30
中图分类号：
学科分类号：
摘要：
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. ©2019 by Begell House, Inc.
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页码：771 / 781
页数：10
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