Browsing by Author "Yanovsky, Felix"

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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.
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
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.
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.
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.
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.
Inferring microstructure and turbulence properties in rain through observations and simulations of signal spectra measured with Doppler–polarimetric radars
(Springer, 2011) Yanovsky, Felix
Doppler radars are able to measure important parameters of the target velocity. In contrast, polarimetric radars are very sensitive to features of the target shape and orientation relative to the radar beam direction. This chapter describes a novel Doppler–polarimetric approach to radar remote sensing. The combination of the Doppler ability and polarization diversity in the radar technology enables more comprehensive investigations of objects and phenomena in radar coverage. The discussion is adapted to the case of atmospheric remote sensing. A special case of cloud and precipitation observations is considered in greater detail. Mathematical models of signals and spectra of Doppler–polarimetric returns are discussed. It is demonstrated (theoretically, by simulation, and by real data processing) that important parameters of dynamic characteristics and microstructure of meteorological objects can be retrieved from Doppler–polarimetric observations. These results lead to new interesting and important applications like turbulence intensity measurement, drop size distribution estimation, recognition of type of scatterers, detection of hail zones, etc.
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
Mean velocity of raindrops at orthogonal polarizations of radar sounding waveform
(2009) Yanovsky, Felix; Glushko, Dmitry
This paper studies Doppler spectra of the reflections from rain at different polarizations. Particularly, it presents results of Doppler-polarimetric radar signal modelling and real data processing that show correlation between Differential Doppler Velocity (DDV), which is the difference between mean Doppler velocities at horizontal and vertical polarizations, and parameters of rain including rain microstructure and turbulence in rain.
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.
Millimeter Wave Radar: Principles and Applications In: Millimeter Wave Technology in Wireless PAN, LAN, and MAN
(CRC Press, 2008) Yanovsky, Felix
This chapter provides a radar perspective for millimeter wave propagation and scattering. It considers radar principles and the features of subsystems and components of millimeter-wave radars. Rather complicated notions of radar theory are stated in a very simple manner as a kind of overview. Then, application of millimeter-wave radar for intelligent transportation systems (ITS) is analyzed in detail as the main section of the chapter. The role of radar sensors in ITS is shown, and frequency allocation for ITS radars is analyzed. Traffic surveillance radar, which is an element of ITS infrastructure, is described. Then automotive radars are categorized into long range, medium range, and short range, and each category is considered. On this basis different functional applications of automotive radar are briefly described. Radar-based communications for both car-to-car and the entire ITS system are considered. The necessity and possibility of data exchange using WLAN (wireless local area network) is indicated. Millimeter-wave radars are employed in a wide range of commercial, military, and scientific applications for remote sensing, safety, and measurements. That is why other important millimeter-wave radar applications are considered. Finally, the conclusion is that millimeter-wave radar is a universal instrument for numerous promising applications and a device quite suitable for network use and data exchange via wireless networks.
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.
Multipath Effect in Multilateration Surveillance
(Proceedings of SPIE, Volume: 8008, pp. 80081R-1- 80081R-7, 2011, (7 pp.), 2011) Konchenko, Inna; Yanovsky, Felix
This paper is dedicated to the investigation of the errors, caused by multipath effect of signal propagation. Multipath effect was modelled and analyzed on the basis of polarization characteristics of received signal.
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.
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.
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.
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.
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
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.
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.