Spatial-Temporal Processing of Acoustic Signals of Unmanned Aerial Vehicles

Карташов, В. М.; Oleynikov, Vladimir; Zubkov, Oleh; Koryttsev, I. V.; Бабкін, С. І.; Sheyko, S. A.; Kolendovskaya, M. M.

doi:10.1615/telecomradeng.v79.i9.40

Cited by 6 publications

(2 citation statements)

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“…Перспективные направления улучшения характеристик содаров -использование современных методов обработки сигналов, в частности методов пространственно-временной обработки широкополосного акустического излучения БПЛА [76], а также комплексирование содаров с другими станциями.…”

Section: выводыunclassified

Methods for detection-recognition of radar, acoustic, optical and infrared signals of unmanned aerial vehicles

Карташов¹,

Pososhenko²,

Voronin³

et al. 2021

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The protection of various objects against the impact of unmanned aerial vehicles (UAVs), which carry a potential threat in the military, economic and everyday areas of human activity, is one of the urgent tasks of our time. Currently, there are a large number of publications devoted to the description of methods and systems based on different physical principles designed to detect and observe UAVs against the background of existing interference. They consider the reception channels, methods of processing the received information signals and their subsequent intelligent analysis. It is shown, that the known methods of energy detection of UAV signals are insufficiently effective, since the operation is performed, as a rule, against a background of noise that has certain structural similarities with the UAV signal. Considerable attention is paid to the methods for interpreting the obtained data using trained neural networks. Since the number of publications in this area is constantly increasing, the task of analyzing, generalizing and systematizing the data available in the literature is relevant in accordance with this. The article is an overview and it is devoted to the generalization and systematization of known methods of receiving and processing radar, acoustic, optical and infrared signals for detection-recognition, measurement of coordinates and parameters of UAV movement.

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Section: выводыunclassified

Methods for detection-recognition of radar, acoustic, optical and infrared signals of unmanned aerial vehicles

Карташов¹,

Pososhenko²,

Voronin³

et al. 2021

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“…В літературі описано два підходи до обробки широкосмугових сигналів при пеленгуванні об'єктів з використанням акустичних решіток, перший підхід -застосування вузькосмугової обробки для знаходження кута приходу сигналу на кожній з гармонік вхідного сигналу, після чого отримані результати підсумовуються. Такий підхід прийнято називати некогерентною обробкою [9], він розглянутий у [10]. Його перевагою є простота реалізації, а у якості одного з головних недоліків відзначається зниження ефективності визначення когерентних джерел сигналу і низька ефективність при малому відношенні сигнал шум (ВСШ) вхідного сигналу.…”

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Using coherent processing algorithms for direction finding of UAV acoustic signals

Kartashov,

Rybnykov

2023

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Small UAVs are often used in a group, since their signals are highly correlated, their resolution is reduced when using non-coherent processing. The article analyzes the well-known methods of coherent processing of acoustic signals in order to increase the resolution in the direction finding of signals with a high degree of correlation. Obtaining qualitative indicators of the analyzed algorithms was carried out by the method of statistical computer modeling in the Matlab environment. Based on the simulation results, it is shown that coherent signal processing methods are the most stable in conditions of low signal-to-noise ratios, while non-coherent ones show the best results in the region of high signal-to-noise ratio, while coherent algorithms can potentially distinguish more targets. the WAVES coherent algorithm performs better in the high signal-to-noise ratio region, but loses to the CSSM algorithm in the low signal-to-noise region. To increase the efficiency of coherent processing of multipath signals, it applies spatial filtering of the inputsignal.

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

Tykhonov

Карташов

Pososhenko

et al. 2021

2021 IEEE 16th International Conference on Computer Sciences and Information Technologies (CSIT)

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Spatial-Temporal Processing of Acoustic Signals of Unmanned Aerial Vehicles

Cited by 6 publications

References 0 publications

Methods for detection-recognition of radar, acoustic, optical and infrared signals of unmanned aerial vehicles

Methods for detection-recognition of radar, acoustic, optical and infrared signals of unmanned aerial vehicles

Using coherent processing algorithms for direction finding of UAV acoustic signals

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

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