图书馆订阅: Guest
Begell Digital Portal Begell 数字图书馆 电子图书 期刊 参考文献及会议录 研究收集
电信和无线电工程
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 打印: 0040-2508
ISSN 在线: 1943-6009

卷:
卷 78, 2019 卷 77, 2018 卷 76, 2017 卷 75, 2016 卷 74, 2015 卷 73, 2014 卷 72, 2013 卷 71, 2012 卷 70, 2011 卷 69, 2010 卷 68, 2009 卷 67, 2008 卷 66, 2007 卷 65, 2006 卷 64, 2005 卷 63, 2005 卷 62, 2004 卷 61, 2004 卷 60, 2003 卷 59, 2003 卷 58, 2002 卷 57, 2002 卷 56, 2001 卷 55, 2001 卷 54, 2000 卷 53, 1999 卷 52, 1998 卷 51, 1997

电信和无线电工程

DOI: 10.1615/TelecomRadEng.v77.i10.70
pages 915-924

INFORMATION CHARACTERISTICS OF SOUND RADIATION OF SMALL UNMANNED AERIAL VEHICLES

V. M. Kartashov
Kharkov National University of Radio Engineering and Electronics, 14, Nauka Ave, Kharkiv, 61166, Ukraine
V. N. Oleynikov
Kharkiv National University of Radio Engineering and Electronics, 14 Nauka Ave, Kharkiv, 61166, Ukraine
S. A. Sheiko
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
S. I. Babkin
Kharkov National University of Radio Engineering and Electronics, 14, Nauky Ave, Kharkiv, 61166, Ukraine
I. V. Korytsev
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
O. V. Zubkov
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine
M. A. Anokhin
Kharkiv National University of Radio Electronics, 14 Nauka Ave, Kharkiv 61166, Ukraine

ABSTRACT

The results of comparison of experimentally obtained information characteristics of sound signals of two types of small unmanned aerial vehicles (UAVs) - a quadrocopter and a monoplane are given. Studies have shown that the energy spectra of the signals have a significant region of broadband noise and pronounced harmonic components with frequencies of multiple rotational speeds of the screw. Even with averaging of the spectral estimates for the ensemble of samples, harmonics with frequencies up to 8 ± 10 kHz are confidently observed. With a large difference in the modes of the quadrocopter engines, the spectral maxima are divided into several ones, which can be one of the most important factors for the UAV classification. The algorithm for operational recognition of UAV is described, which includes the formation of recognition features on the basis of spectral estimates for their orthogonal transformation and the decision rule based on the Dice criterion.