Наукові статті кафедри електроніки, робототехніки і технологій моніторингу та інтернету речей

Permanent URI for this collectionhttp://er.nau.edu.ua/handle/NAU/19397

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Результати медико-біологічних досліджень українських учених на Ельбрусі
(Національний Авіаційний Університет, 2007) Білошицький, Павло Васильович; Ключко, Олена Михайлівна; Онопчук, Юрій Миколайович; Biloshitsky, Pavlo; Klyuchko, Olena; Onopchuk, Yuri; Белошицкий, Павел Васильевич; Ключко, Елена Михайловна; Онопчук, Юрий Николаевич
Наведено результати деяких медико-біологічних досліджень українських учених у високогірних умовах Ельбрусу протягом останніх десятиріч. Особливу увагу приділено напрямам, пов’язаним з розвитком авіації та космонавтики. Brief results of medical and biological researches of Ukrainian scientists at Elbrus mountain conditions during last decades is given. Main attention is paid to the directions linked with the development of aviation and cosmonautics.
Application of Wideband Signals for Acoustic Localization
(Eighth International Conference on Ultrawideband and Ultrashort Impulse Signals (UWBUSIS-2016), 2016) Yanovsky, Felix; Sinitsyn, R.B.
This paper describes briefly the basic ideas underlying different methods of determining the coordinates of objects by passive acoustic methods (passive acoustic location) for wideband acoustic signals, performs comparative analysis, and introduces a modified algorithm for localization of moving objects using the maximum of ambiguity function in application to passive acoustic localization of different noisy objects under various conditions
Moving Target Detection and Tracking using Passive Acoustic Radar
(2016) Yanovsky, Felix; Sinitsyn, Rustem B.; Chervoniak, Yevhen; Makarenko, Vitaliy; Tokarev, Vadim; Zaporozhets, Oleksandr
The moving target detection and tracking method for passive radars is investigated. The original algorithm, which is based on the wideband ambiguity function calculation, is suggested. The effectiveness of the suggested algorithm is proved by experimental measurements.
Multivariate Copula Approach for Polarimetric Classification in Weather Radar Applications
(2016 17th International Radar Symposium, 2016-05) Яновський, Фелікс; Rudyakova, A.N.; Sinitsyn, R.B.
The paper presents a multivariate copula approach to identify the dependence between different polarimetric parameters. This approach can be used to develop a new method of invariant polarimetric classification of radar targets. Signals from meteorological target are processed as an example.
Copula Analysis of Full Polarimetric Weather Radar Complex Signals
(2016-10) Yanovsky, Felix; Rudiakova, A.N.; Sinitsyn, R.B.; Averyanova, Yulia
In this paper we propose the method of transition from the complex full polarimetric radar signals to univariate uniformly distributed marginals that can be used for more precise copula analysis of statistical dependence between the complex samples of signals received at orthogonally polarized sounding waveforms. The method is applied to meteorological radar signal processing.
Масонська ложа технарів
(Куншт. Наука як мистецтво. Вип. 3, 2016, С. 86-89., 2016) Яновський, Фелікс
Spectral Polarimetric Method for Turbulence Intensity Estimation in Rain
(2016) Rudiakova, Anna N.; Turenko, Daria N.; Yanovsky, Felix
In this paper we develop an algorithm for turbulence intensity estimation based on the spectral polarimetric approach to the remote sensing of rain. The algorithm is compared with traditional Doppler spectrum width estimation; advantages and disadvantages of the two are analyzed, and recommendations for further research and practical applications are made
Copula Simulation of Weather Radar Inputs
(2016 International Conference on Mathematical Methods in Electromagnetic Theory, 2016) Sinitsyn, R.B.; Яновський, Фелікс
This paper presents the copula based simulation of weather radar preprocessed input signals with orthogonal polarizations. The use of copulas allows taking into account their mutual dependence in a straightforward and natural way, because the copula relates exactly to the pure dependence between the marginal distributions.
Refined Models and Numerical Simulation of Polarimetric Radar Signals Scatterred by Various Types of Hydrometeors
(2016) Pitertsev, Alexander; Yanovsky, Felix
In this paper the mathematical models are presented to describe scattering electromagnetic waves by hydrometeors of various types such as: raindrops, cloud droplets, flat and elongated ice crystals etc. These models are developed based on the practical implementation of requirements to the algorithm for detection of zones of possible icing of aircrafts, using the data of the avionic weather radar. Various scenarios of the appearance of such zones are analyzed. Polarymetric radar data, which can be obtained by remote sensing of one or more types of hydrometeors are modeled and analyzed.
Polarimetric Method to Discriminate the Drops on Sizes within the Resolution Volume
(2016 International Conference on Mathematical Methods in Electromagnetic Theory, 2016) Averyanova, Yulia; Yanovsky, Felix
In this paper we consider possibilities of radar polarimetry to solve different meteorological tasks including identification of atmospheric pfenomena microstructure and hydrometeor orientation, hydrometeors size measurement, wind related phenomena estimation. The potentials and restrictions of radar polarimetry are discussed. The approach that allows to increase informativity of polarization measuremens by distinguishing hydrometeors with similar polarization properties inside the reflecting volume and estimating their differential impact onto polarization properties of reflected signal is presented. The overvew of the polarimetric system with multiple receiving antenna system for aproach realization is done. The results are important for different practical applications of radar meteorology including drop size distribution estimate, rainfall intensity estimate, wind speed measurement, turbulence and strong wind shear detection.
An approach to discrimination of hydrometeors with similar polarization properties within the resolution volume
(2016) Averyanova, Yulia; Yanovsky, Felix
In this paper the possibility to distinguish hydrometeors with similar polarization properties inside the reflecting volume and estimating their differential impact onto polarization properties of reflected signal is made. The results are important for different practical application of radar meteorology including drop size distribution estimate, rainfall intensity estimate, wind speed measurement, turbulence and strong wind shear detection.
Glimpses of Early Radar Developments in Ukraine and the Former Soviet Union
(Radio Science Bulletin, 2016-09) Yanovsky, Felix
The first experimental work on practical radar detection in the USSR was done in 1934, to detect an airplane in flight as a target for flak or antiaircraft artillery. This work was absolutely independent of radar research and development in other countries. The outline of the first work on radar development in the USSR is briefly described in this paper on the basis of generalizations of documents, articles, and books published earlier (mostly in Russian). The attention in this paper will also be focused on the original radar research and development in Ukraine, which was then a part of the USSR. The first three-coordinate radar system was developed in 1938 in Kharkiv, the capital of Soviet Ukraine in the 1919-1934 period. Earlier, in the 1920s, the first powerful UHF and microwave oscillators were also created in Kharkiv, including magnetrons, which served as key engineering components of the future radar systems. Later, many important achievements were made in Ukraine, such as wideband signal generation, and pulse compression using a matched filter, in the middle of the 1950s. Radar development in modern Ukraine was based on its powerful scientific schools and industry.
Short-Range C-Band Noise Radar for Meteorological Application
(2013 IEEE XXXIII International Scientific Conference Electronics and Nanotechnology (ELNANO), 2013) Maslikowski, Lukasz; Krzysztof, Kulpa; Glushko, Dmitriy; Yanovsky, Felix
his paper concerns a ground-based continuous- wave noise radar system that was built from Commercial-Off-The-Shelf measurement equipment (Vector Signal Analyser, Ar- bitrary Waveform Generator, amplifiers, antennas) and operated at 5.6 GHz in the C-band. This electronic system was tested as a meteorological radar in the experiment devoted to atmospheric precipitation sensing. The result of the processing is a set of Range-Doppler plots containing visible echo of rain, based on which its intensity can be calculated. There are the system setup, signal processing and results described in the paper.
Microwave scattering from particles in turbulent atmosphere and its application for hydrometeor type recognition and turbulence detection
(Вісник Інженерної академії України. – 2007. – № 3-4. – С. 16-23., 2007) Yanovsky, Felix; Marchuk, Vitaly V.; Ostrovsky, Yaroslav P.; Pitertsev, Alexander; Khraisat, Yahya S. H.; Ligthart, Leo P.
The models of microwave scattering on atmospheric particles are presented. Shape, size, material, and turbulence influence of scatterers are taken into account at different wave polarizations. Results are im- portant for remote recognition of hydrometeor types, radar and telecommunications.
Spectrum with of radar returns from rain with turbulence
(Bulletin of engineering academy of Ukraine, 2007) Khraisat, Yahya S. H.; Yanovsky, Felix
This paper presents the developed model description and the calculation results of the joint influence that both rain intensity and turbulence produce on the spectrum width of the reflected signal in micro-wave frequency band. The model provides the possibility to calculate backscattered signal parameters at wide variety of the initial data. Results are useful for radar, telecommunications, radar meteorology and remote sensing of the atmosphere.
Determination of aircraft current location on the basis of its acoustic noise
(Telecommunications and Radio Engineering, 01/2015; Vol. 74(5), pp. 397-408., 2015-01) Sinitsyn, R.; Yanovsky, Felix; Chervoniak, E.; Zaporozhets, O.
In this paper the algorithm of signal detection by means passive acoustics and digital data processing is proposed. This algorithm is original and contains the processing of signals, which are received by several acoustic aerials. For signal detection the calculation of wide-band ambiguity function together with its projection on time axis are used. All the calculations are executed with the real signals. As the result the location of the aircraft on Cartesian coordinate plane is observed. The suggested algorithm is also proposed to use for measuring of aircraft noise with the aim of environmental protection.
Turbulence intensity classification based on estimating statistical polarimetric parameters of radar reflections from rain
(Telecommunications and Radio Engineering, 71(4), pp:379-385, 2012) Averyanova, Yulia; Yanovsky, Felix; Averyanov, A.
In this paper the polarimetric approach for wind phenomena detection and study is proposed and analyzed. The polarimetric estimation of turbulence intensity is made with single unipolarized antenna radar system. The turbulence intensity classification based on statistical parameters of radar reflections from rain is made.
Acoustic noise atmospheric radar with nonparametric copula based signal processing
(Telecommunications and Radio Engineering, 71(4), pp.327-335, 2012) Sinitsyn, R.B.; Yanovsky, Felix
In this paper we discuss a new approach to creating the acoustic atmospheric radar (sodar) which is based on noise sounding waveform. Such sounding waveform has extremely high range and speed resolution. These good properties exist only in the case when we have independent samples, and a noise signal forms such independent samples because of its nature. The prototype of the radar is described and investigated theoretically, using computer simulation and in natural conditions. Non-parametrical signal processing algorithm is developed based on the statistical approach and digital signal processing. It has wonderful properties of invariance to the group of the noise and signal transforms and stable level of the false alarm probability. The algorithm can be applied for both acoustic and microwave noise radars. The use of the FFT algorithm increases the speed of calculations and gives us the possibility of constructing digital random signal radars. These new properties allow us to simplify signal detection algorithms and measure a distance, an azimuth and a target velocity simultaneously with high resolution and accuracy.
Radar turbulence detection: statistical synthesis and experimental check of adaptive algorithms
(Proc. SPIE Vol. 6159, Photonics Applications in Astronomy, Communications, Feb 2006, 322-329., 2006-02) Yanovsky, Felix; Prokopenko, I.G.; Ligthart, L.P.
In this paper the adaptive algorithms for radar signals processing are developed and applied to the detection of turbulent zones in rain. Efficiency of the algorithms is analyzed by statistical modeling. Simulation of weather radar signals and testing of the processing algorithms are performed for comparative analysis of the developed algorithms and known pulse-pair algorithm. The results demonstrate a significant superiority of adaptive algorithms in comparison with the known one. The main emphasis is done to the two-sample algorithm. Algorithms are tested by using the data of Doppler-polarimetric remote sensing of rain. Two-sample algorithm is checked by using radar measurements. Experimental check confirms high efficiency of the two-sample adaptive algorithm. It is recommended for practical use in weather radars.
Least square spline decomposition in time-frequency analysis of meteorological signals
(Proceedings of SPIE, Volume: 8008, pp. 80081T-1 - 80081T-9, 2011, (9 pp.), 2011) Shelevytska, K.I.; Semenova, O.S.; Shelevytsky, I.V.; Yanovsky, Felix

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