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Dive into the research topics where Mária Gamcová is active.

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Featured researches published by Mária Gamcová.


international symposium on applied machine intelligence and informatics | 2010

Imaging method: A strong tool for moving target tracking by a multistatic UWB radar system

Dusan Kocur; Ján Gamec; Mária Švecová; Mária Gamcová; Jana Rovnakova

In this paper, imaging method for moving target tracking by a multistatic ultra-wideband radar system is described. The task of moving target tracking consists in estimation of a target trajectory based on processing of raw radar data obtained from all receiving channels of a radar system. Then, the imaging method applied for target tracking consists of such signal processing phases as raw radar data pre-processing, background subtraction, fusion of the data obtained by receiving antennas of a radar, detection, localization and tracking itself. The performance of the imaging method described in this paper is demonstrated by signal processing obtained by M-sequence UWB radar for a scenario represented by through wall tracking of a single moving target. The obtained results confirm the excellent performance of the discussed method.


Remote Sensing | 2017

Sea Wind Measurement by Doppler Navigation System with X-Configured Beams in Rectilinear Flight

Alexey Nekrasov; Alena Khachaturian; Mária Gamcová; Pavol Kurdel; Victor A. Obukhovets; Vladimir Veremyev; Mikhail I. Bogachev

We suggest a conceptual approach to the measurement of the near-surface wind vector over water using a Doppler navigation system, in addition to its standard navigation capabilities. We consider a Doppler navigation system with a track-stabilized antenna and x-configuration of its beams. For the measurement of the sea-surface wind, the system operates in the multi-beam scatterometer mode in rectilinear flight. The proposed conceptual design has been validated, and its accuracy for the wind vector measurement has been estimated using Monte Carlo computational simulations.


Central European Journal of Computer Science | 2012

Algorithm of traffic signs recognition based on the rapid transform

Ján Gamec; Daniel Urdzik; Mária Gamcová

This paper presents a model of a system for invariant object recognition, which consists of five stages. The first stage shifts the object so that the centroid of the object coincides with the center of the image plane. The second stage is an application of the polar-coordinate transforms used to obtain N-dimensional vectors-representations of the input object. In this stage, any rotation of the input object becomes a cyclic shift of the output value of this stage. The third stage employs CT (Certain Transform), a class of shift-invariant transformations to provide invariant representations for cyclically shifted inputs. The next stage normalizes the outputs of the previous stage to obtain scale invariance. The final stage realizes a classification.


International Journal of Remote Sensing | 2018

On off-nadir wind retrieval over the sea surface using APR-2 or similar radar geometry

Alexey Nekrasov; Mária Gamcová; Pavol Kurdel; Ján Labun

ABSTRACT In some cases, nadiral wind retrieval algorithms are not applicable for wind measurements due to the specificity of a radar instrument measuring geometry or its mounting on aircraft, and so off-nadir backscattering measurements can only be performed. In this paper, a method for off-nadir wind retrieval over the sea based on the sea-surface backscattering measurements with the Airborne Precipitation Radar-2 or similar radar measuring geometry has been proposed. The study is based on a theory of the quasi-specular microwave backscattering from the sea surface. An anisotropic water surface approach is considered. The wind vector is retrieved from the system of equations for measured normalized radar cross sections (NRCS) by using the relationships between the speed of the sea-surface wind and the standard deviations of the sea-surface slopes along the up- and cross-wind directions. A wind vector recovery with the cross-track scanning measurement geometry has been simulated. The maximum errors of the wind speed and direction estimations are within typical errors of wind measurements by a scatterometer. A maximum altitude of the method applicability for this geometry has been defined. Recommendations to perform the measurements have been described in detail.


international conference radioelektronika | 2016

Alternative antenna measuring methods with use of impulse UWB radar

Ján Schneider; Ján Gamec; Mária Gamcová; Miroslav Repko

This paper presents alternative methods of measuring the electric properties of antennas. In this case, the UWB impulse radar system is used. Also, the paper describes a relatively low cost measuring system, its calibration, verification and calculation methods of the required parameters - return loss and radiation pattern. All experimental results obtained by UWB radar are compared with the results obtained by measurements in an anechoic chamber. Experimental results of the measurements using UWB impulse radar system show good agreement with the simulated performance and with the measurements in the anechoic chamber.


Archive | 2010

Imaging Method: An Efficient Algorithm for Moving Target Tracking by UWB Radar

Dusan Kocur; Ján Gamec; Mária Gamcová


USB-Flash-Ausg.:#R#<br/>Information technology and electrical engineering - devices and systems, materials and technologies for the future : 54. IWK, Internationales Wissenschaftliches Kolloquium ; proceedings ; 07 - 10 September 2009 / Faculty of Electrical and Information Technology, Technische Universität Ilmenau. - Ilmenau : Verl. ISLE, 2009. - ISBN 978-3-938843-45-1 | 2009

A new efficient tracking algorithm for through wall tracking of moving target by using UWB radar

Dusan Kocur; Ján Gamec; Mária Švecová; Mária Gamcová; Jana Rovňáková


Archive | 2009

INFRASTRUCTURE FOR PACKET BASED E-LEARNING SERVICES PROVIDED VIA SATELLITE

Pavol Galajda; Ján Gamec; Mária Gamcová; Slavomír Pillár


Elektronika Ir Elektrotechnika | 2016

Vivaldi Antenna for UWB Sensor Networks

Ján Gamec; Ján Schneider; Mária Gamcová


international symposium on applied machine intelligence and informatics | 2010

Detection of driving space using Vanishing point estimation

Daniel Urdzik; Ján Gamec; Mária Gamcová; Dusan Kocur

Collaboration


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Ján Gamec

Technical University of Košice

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Dusan Kocur

Technical University of Košice

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Alexey Nekrasov

Southern Federal University

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Pavol Kurdel

Technical University of Košice

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Daniel Urdzik

Technical University of Košice

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Ján Labun

Technical University of Košice

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Ján Schneider

Technical University of Košice

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Mária Švecová

Technical University of Košice

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Pavol Galajda

Technical University of Košice

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Iveta Gladišová

Technical University of Košice

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