SPATIAL-TEMPORAL PROCESSING OF ACOUSTIC SIGNALS OF UNMANNED AERIAL VEHICLES

2020 ◽  
Vol 79 (9) ◽  
pp. 769-780
Author(s):  
V. M. Kartashov ◽  
V. N. Oleynikov ◽  
O. V. Zubkov ◽  
I. V. Koryttsev ◽  
S. I. Babkin ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Temporal Processing ◽  
Acoustic Signals ◽  
Aerial Vehicles

scholarly journals ANALYSIS OF THE EFFICIENCY OF SPECTRAL ESTIMATION METHODS FOR DETECTION OF UAV ACOUSTIC SIGNALS

2021 ◽  
pp. 4-15
Author(s):  
М. V. Buhaiov ◽  
V. V. Branovytskyi ◽  
Y. O. Khorenko
Keyword(s):  
Acoustic Emission ◽  
Unmanned Aerial Vehicles ◽  
Acoustic Signal ◽  
Spectral Estimation ◽  
Acoustic Signals ◽  
Frequency Resolution ◽  
Estimation Methods ◽  
Signal To Noise ◽  
Statistical Quality ◽  
Aerial Vehicles

One of the most important components of counteracting small unmanned aerial vehicles is their reliable detection. You can use propeller noise to detect such objects at short distances. An energy or harmonic detector is used to receive unmanned aerial vehicles acoustic emission. At low signal-to-noise ratios , which is most common in practice, the harmonic detector provides a higher probability of detection compared to energy. The principle of the harmonic detector is based on spectral analysis of acoustic signals. A mathematical model of the acoustic signal of an aircraft-type unmanned aerial vehicles is proposed. It is shown that at short time intervals (tens of milliseconds) such signals can be considered as stationary and for its analysis can be used known methods of spectral estimation. Nonparametric, parametric and subspace methods of spectral estimation are considered for processing of acoustic emission of unmanned aerial vehicles. To conduct a comparative analysis of different methods of spectral estimation, a statistical quality index was used, which can be calculated as a variation of the estimation of power spectral density. This index characterizes the method of spectral estimation in terms of frequency resolution and the ability to detect harmonic components of the signal into noise and not create interference that exceeds the amplitude of the signal. As a result of researches it was established that at high signal-to-noise ratios parametric methods are more effective in comparison with nonparametric. However, such a statement will be valid only if the correct order of the model. It is shown that the use of spatial methods is impractical for the analysis of acoustic signals of unmanned aerial vehicles. The use of the value of the statistical quality indicator as a threshold for deciding on the presence or absence of the acoustic signal of the unmanned aerial vehicles in the adopted implementation and its further processing should be used at SNR values greater than 5 dB.

Processing of Wide Band Acoustic Signals During Detection of Unmanned Aerial Vehicles

2020 ◽  
Author(s):  
Vladimir Kartashov ◽  
Vladimir Oleynikov ◽  
Igor Koryttsev ◽  
Sergiy Sheiko ◽  
Oleh Zubkov ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Wide Band ◽  
Acoustic Signals ◽  
Aerial Vehicles

Detection and Recognition of Unmanned Aerial Vehicles by the Spectrum of Their Acoustic Signals

2021 ◽  
Author(s):  
Vyacheslav Tykhonov ◽  
Vladimir Kartashov ◽  
Vitaliy Pososhenko ◽  
Viktoriia Kolisnyk ◽  
Sergiy Sheiko ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Acoustic Signals ◽  
Aerial Vehicles ◽  
Detection And Recognition

scholarly journals Tracking of Unmanned Aerial Vehicles Using Computer Vision Methods: A Comparative Analysis

2020 ◽  
Vol 223 (4) ◽  
pp. 39-51
Author(s):  
Stanisław Hożyń ◽  
Miłosz Wierszyło
Keyword(s):  
Computer Vision ◽  
Comparative Analysis ◽  
Unmanned Aerial Vehicles ◽  
Acoustic Signals ◽  
Light Radiation ◽  
Radio Waves ◽  
Security Systems ◽  
Aerial Vehicles ◽  
Embedded Methods

Abstract Tracking of small objects in any given airspace is an integral part of modern security systems. In these systems, there are embedded methods that employ the techniques based on either radio waves, or acoustic signals, or light radiation. The computer vision operation, springing from the light radiation-based technique, has prompted interest in its research. This operation has the advantage of being less expensive than radars and acoustic systems. In addition, it can solve complex security problems by detecting and tracking humans, vehicles, and flying objects. Therefore, this article evaluates the usefulness of the varying computer vision algorithms for tracking of small flying objects.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

Sign in / Sign up

Export Citation Format

Share Document