Comparison of Different CFAR Algorithms at Detecting a Target Moving Through a Non-uniform Clutter Environment Felix Yanovsky, Igor Prokopenko, Alexander Pitertsev, Huinam Rhee, Kostiantyn Prokopenko Proceedings International Radar Symposium, 2025 Here we investigate different Constant False Alarm Rate (CFAR) algorithms at detecting targets moving along curvilinear trajectories in non-uniform clutter environment of different types. Only primary signal processing is considered. The generalized signal processing model is developed. Statistical simulation is used to evaluate three CFAR algorithms, namely: cell averaging, ordinal statistic, and locally optimal rank. The feature of the developed approach is implementing target detection during its movement along a complex trajectory. The obtained data highlight the effectiveness of rank algorithms.
Application of Neural Network Technologies in Signal Detection Tasks Ihor Prokopenko, Kostiantyn Prokopenko, Anastasiia Dmytruk 2023 IEEE 6th International Conference on Information and Telecommunication Technologies and Radio Electronics Ukrmico 2023, 2023 The paper considered the problem of applying neural network technologies to detect signals in conditions of complex non-Gaussian disturbances with a priori uncertainty of probability distributions. In particular, the synthesis and comparative analysis of two approaches to the detection of a harmonic signal with a known frequency and an unknown phase against the background of correlated autoregressive interference was carried out. The first approach is based on the procedure of statistical synthesis of the adaptive signal detection algorithm. The second approach involves the use of a neural network in combination with the Fourier transform. It was noted that neural network algorithms significantly outperform optimal algorithms in modeling the action of non-Gaussian impulse disturbances, but demonstrate lower efficiency compared to the action of Gaussian correlated interferences.
Intensifying the process of methane gas hydrates crystallization in the presence of surface-activated substances Olena Svietkina, Iryna Kovalevska, Kateryna Sai, Kostiantyn Prokopenko E3s Web of Conferences, 2021 The crystallization process of gas hydrates during their formation in the presence of surface-active substances (SAS) is studied. The research is conducted in two directions – theoretical and experimental. Experimental data on the crystallization rate of methane gas hydrates formation in the presence of surfactants have been obtained: high-molecular compounds are used on the basis of polymeric quaternary ammonium salts containing side aliphatic radicals of various lengths in the acyl fragment, as well as a number of specific surfactants. The process of methane gas hydrates formation is performed using a laboratory setup of the NPO modification for the gas hydrates creation. To analyse the experimental data, technical and metrological instruments are used: stalagmometric method with automatic photoelectric drop counting, conductometric method, Wheatstone bridge, spectrophotometric titration of amino end-groups, viscometer VPZh-1. It has been substantiated that the crystal formation rate depends on the surfactant concentration. New experimental dependences of the gas hydrates formation on surfactants under thermobaric conditions in the presence of surfactants have been found. It has been revealed that the crystallization process during the methane gas hydrates formation is accelerated in the presence of a surfactant. As a result of their application, the effect of solubilization and catalysis arises with the formation of the so-called “diffusion zone”, the size of which decreases in the presence of surfactants, thereby accelerating the substance transfer to the surface on which crystallization occurs. An increase in the surfactant concentration leads to an increase in the rate of molecular diffusion, and also creates a more intense turbulent diffusion.
An innovative method for creating and using nanoparticles for gas extraction from gas hydrates Volodymyr Bondarenko, Olena Svietkina, Kostiantyn Prokopenko, Baochang Liu E3s Web of Conferences, 2019 The growth of prices for traditional energy sources prompts Ukraine to seek new approaches to solving energy problems. Today, the country has intensified its work in this direction, in particular, legislative support is being developed and improved, and the investment climate for alternative energy projects is improving. In many countries of the world, it has long been understood how serious and necessary is the development of alternative energy. At present, in the face of various gas contradictions and unstable oil prices, the need for energy carriers is constantly increasing, which makes it necessary to seek the latest solutions to the energy problem. Many leading countries in the world are engaged in the search for alternative sources of energy, one of which is natural gas hydrates. This relatively new resource offers great opportunities both for economic growth and stability of states, and for the development of scientific institutions in this field. Flagships in the study and development of gas-hydrated deposits are the United States, China, Japan and Canada. Along with them should be noted the achievements of scientists in India, EU countries, Ukraine, Russia and Bulgaria.
Robust Algorithms for Random Signal Detection in Condition of Aprioristic Uncertainty Igor Prokopenko, Kostiantyn Prokopenko, Igor Omelchuk, Olena Omelchuk 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial Vehicles Developments Apuavd 2019 Proceedings, 2019 The task of random narrowband signal detection on background of uncorrelated Gaussian noise and chaotic puls interference is considered. Three robust detection algorithms are synthesized and they efficiencies and robustness are investigated.
Synthesis and Effectivity Analysis of Robust Radar Signal Detection Algorithms Igor Prokopenko, Vitalii Vovk, Kostiantyn Prokopenko Uwbusis 2018 2018 9th International Conference on Ultrawideband and Ultrashort Impulse Signals Proceedings, 2018 Two robust adaptive locally-optimal algorithms for detecting pulse radar signals (with carrier frequency and random phase) on the background of mixed correlated sea clutter and ultrashort pulse (USP) noise are synthesized. Estimating parameters of USP and autoregressive clutter model are applied during the procedure of synthesis. Effectivity of suggested algorithms is investigated. These algorithms can be used for detection of high-speed targets under the condition of extremely harmful short glares of sea clutter and USP interferences when using microwave and millimeter wave radar.
Synthesis of detection algorithm for harmonic signal and second-order autoregressive sea clutter model Igor Prokopenko, Vitalii Vovk, Kostiantyn Prokopenko Proceedings International Radar Symposium, 2018 A short-time autocorrelation function of reflections from sea surface can be described by exp-cosine model. It means that such reflections can be modeled as secondorder autoregressive (AR) process. We synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter; AR model parameters can be estimated either from clutter model or directly from measured data. This algorithm can be used for detection of high-speed targets in sea clutter by centimeter-wave radar.
Thermodynamic and geomechanical processes research in the development of gas hydrate deposits in the conditions of the black sea V Bondarenko, K Sai, K Prokopenko, D Zhuravlov, and Mining of Mineral Deposits, 2018 The results of the current researches were obtained within the framework of the research works of GP-473 Development of scientific principles of phase transformations of technogenic and natural gas hydrates and creation of the newest technologies of their extraction” (State Registration No.0115U002294) and GP-487 “Scientific substantiation and development of energy saving and low waste technologies of hydrocarbon and mineral raw materials extraction” (State Registration No.0116U008041).
Detection of radar signals in nonstationary correlated sea clutter Igor Prokopenko, Vitalii Vovk, Kostiantyn Prokopenko Proceedings International Radar Symposium, 2017 In this paper we synthesize optimal algorithm for detection of harmonic signal with known frequency and unknown phase in correlated sea clutter with exponential covariation function. We made analysis of efficiency of the synthesized algorithm for detection of high-speed targets by centimeter radar for different weather conditions (sea states) by statistical simulations.
Radar estimation of turbulence eddy dissipation rate in rain International Geoscience and Remote Sensing Symposium IGARSS, 2002
RECENT SCHOLAR PUBLICATIONS
Comparison of Different CFAR Algorithms at Detecting a Target Moving Through a Non-uniform Clutter Environment F Yanovsky, I Prokopenko, A Pitertsev, H Rhee, K Prokopenko 2025 26th International Radar Symposium (IRS), 1-6 , 2025 2025
ANALYSIS OF THE EFFECTIVENESS OF ALGORITHMS FOR ESTIMATING PARAMETERS OF AUTOREGRESSIVE MODELS IN THE PROBLEM OF SIGNAL DETECTION IN INTERFERENCE CONDITION. I Prokopenko, A Dmytruk, K Prokopenko Science-Based Technologies 65 (1) , 2025 2025
Comparison of neural network and statistical approaches to the problem of signal detection I Prokopenko, K Prokopenko, A Dmytruk International Workshop on Advances in Civil Aviation Systems Development … , 2024 2024 Citations: 2
Application of neural network technologies in signal detection tasks I Prokopenko, K Prokopenko, A Dmytruk 2023 IEEE International Conference on Information and Telecommunication … , 2023 2023 Citations: 1
Application of robust algorithms in the problem of detection of moving targets on the background of non-gaussian clutter IG Prokopenko, AY Dmytruk, KI Prokopenko Science-based Technologies 1, 58-66 , 2023 2023 Citations: 6
ВИКОРИСТАННЯ СТІЙКИХ АЛГОРИТМІВ В ЗАДАЧІ ВИЯВЛЕННЯ РУХОМИХ ЦІЛЕЙ НА ТЛІ НЕГАУСІВСЬКИХ ЗАВАД. ІГ Прокопенко, АЮ Дмитрук, КІ Прокопенко Science-Based Technologies 57 (1) , 2023 2023
Robust Algorithms for Random Signal Detection in Condition of Aprioristic Uncertainty I Prokopenko, K Prokopenko, I Omelchuk, O Omelchuk 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial … , 2019 2019 Citations: 1
Synthesis and Effectivity Analysis of Robust Algorithms for Random Signal Detection in Non-Gaussian Interferences IG Prokopenko, IP Omelchuk, KI Prokopenko, AA Osipchuk Electronics and control systems., 9-17 , 2019 2019 Citations: 2
Synthesis and Effectivity Analysis of Robust Radar Signal Detection Algorithms I Prokopenko, V Vovk, K Prokopenko 2018 9th International Conference on Ultrawideband and Ultrashort Impulse … , 2018 2018
Synthesis of Detection Algorithm for Harmonic Signal and Second-Order Autoregressive Sea Clutter Model I Prokopenko, V Vovk, K Prokopenko 2018 19th International Radar Symposium (IRS), 1-4 , 2018 2018
Robust estimation of a signal source coordinates I Prokopenko, K Prokopenko, I Omelchuk, I Chyrka 2017 18th International Radar Symposium (IRS), 1-8 , 2017 2017 Citations: 4
Detection of radar signals in nonstationary correlated sea clutter I Prokopenko, V Vovk, K Prokopenko 2017 18th International Radar Symposium (IRS), 1-6 , 2017 2017 Citations: 4
Slowly moving targets detection in backscatter radar data I Prokopenko, V Vovk, K Prokopenko, N Babanska 2016 IEEE Radar Methods and Systems Workshop (RMSW), 22-26 , 2016 2016 Citations: 5
The use of non-Gaussian character of echo signal distribution in moving target detection systems I Prokopenko, V Vovk, K Prokopenko, N Babanska 2016 17th International Radar Symposium (IRS), 1-5 , 2016 2016 Citations: 3
CFAR rank detection and estimation of Doppler radar signals I Prokopenko, K Prokopenko, V Vovk 2015 16th International Radar Symposium (IRS), 1064-1069 , 2015 2015 Citations: 1
Fast resource management algorithm for multi-position radar systems I Prokopenko, V Vovk, K Prokopenko 2015 16th International Radar Symposium (IRS), 1045-1051 , 2015 2015 Citations: 13
Moving objects recognition by micro-Doppler spectrum I Prokopenko, K Prokopenko, I Martynchuk 2015 16th International Radar Symposium (IRS), 186-190 , 2015 2015 Citations: 6
Nonparametrical rank detection and estimation of radar doppler signals KI Prokopenko 2014 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 84-87 , 2014 2014
Sequential target tracking based on local trajectory parameters estimation in Rayleigh clutter V Vovk, I Prokopenko, K Prokopenko 2014 15th International Radar Symposium (IRS), 1-5 , 2014 2014 Citations: 3
Locally optimal rank CFAR signal detection algorithm KI Prokopenko, VI Vovk, DV Babych 2014 15th International Radar Symposium (IRS), 1-4 , 2014 2014 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Signal modeling for the efficient target detection tasks IG Prokopenko, SV Migel, KI Prokopenko 2013 14th International Radar Symposium (IRS) 2, 976-982 , 2013 2013 Citations: 22
Fast resource management algorithm for multi-position radar systems I Prokopenko, V Vovk, K Prokopenko 2015 16th International Radar Symposium (IRS), 1045-1051 , 2015 2015 Citations: 13
Radar estimation of turbulence eddy dissipation rate in rain FJ Yanovsky, IG Prokopenko, KI Prokopenko, HWJ Russchenberg, ... IEEE International Geoscience and Remote Sensing Symposium 1, 63-65 , 2002 2002 Citations: 13
Application of robust algorithms in the problem of detection of moving targets on the background of non-gaussian clutter IG Prokopenko, AY Dmytruk, KI Prokopenko Science-based Technologies 1, 58-66 , 2023 2023 Citations: 6
Moving objects recognition by micro-Doppler spectrum I Prokopenko, K Prokopenko, I Martynchuk 2015 16th International Radar Symposium (IRS), 186-190 , 2015 2015 Citations: 6
Slowly moving targets detection in backscatter radar data I Prokopenko, V Vovk, K Prokopenko, N Babanska 2016 IEEE Radar Methods and Systems Workshop (RMSW), 22-26 , 2016 2016 Citations: 5
Robust estimation of a signal source coordinates I Prokopenko, K Prokopenko, I Omelchuk, I Chyrka 2017 18th International Radar Symposium (IRS), 1-8 , 2017 2017 Citations: 4
Detection of radar signals in nonstationary correlated sea clutter I Prokopenko, V Vovk, K Prokopenko 2017 18th International Radar Symposium (IRS), 1-6 , 2017 2017 Citations: 4
The use of non-Gaussian character of echo signal distribution in moving target detection systems I Prokopenko, V Vovk, K Prokopenko, N Babanska 2016 17th International Radar Symposium (IRS), 1-5 , 2016 2016 Citations: 3
Sequential target tracking based on local trajectory parameters estimation in Rayleigh clutter V Vovk, I Prokopenko, K Prokopenko 2014 15th International Radar Symposium (IRS), 1-5 , 2014 2014 Citations: 3
Comparison of neural network and statistical approaches to the problem of signal detection I Prokopenko, K Prokopenko, A Dmytruk International Workshop on Advances in Civil Aviation Systems Development … , 2024 2024 Citations: 2
Synthesis and Effectivity Analysis of Robust Algorithms for Random Signal Detection in Non-Gaussian Interferences IG Prokopenko, IP Omelchuk, KI Prokopenko, AA Osipchuk Electronics and control systems., 9-17 , 2019 2019 Citations: 2
Locally optimal rank CFAR signal detection algorithm KI Prokopenko, VI Vovk, DV Babych 2014 15th International Radar Symposium (IRS), 1-4 , 2014 2014 Citations: 2
Local trajectory parameters estimation and detection of moving targets in rayleigh noise IG Prokopenko, VI Vovk, IP Omelchuk, YD Chirka, KI Prokopenko Технология и конструирование в электронной аппаратуре, 23-35 , 2014 2014 Citations: 2
Application of neural network technologies in signal detection tasks I Prokopenko, K Prokopenko, A Dmytruk 2023 IEEE International Conference on Information and Telecommunication … , 2023 2023 Citations: 1
Robust Algorithms for Random Signal Detection in Condition of Aprioristic Uncertainty I Prokopenko, K Prokopenko, I Omelchuk, O Omelchuk 2019 IEEE 5th International Conference Actual Problems of Unmanned Aerial … , 2019 2019 Citations: 1
CFAR rank detection and estimation of Doppler radar signals I Prokopenko, K Prokopenko, V Vovk 2015 16th International Radar Symposium (IRS), 1064-1069 , 2015 2015 Citations: 1
Fast frequency synchronization systems IG Prokopenko, IP Omelchuk, YD Chyrka, KI Prokopenko Electronics and control systems, 19-23 , 2014 2014 Citations: 1
Adaptive algorithms for Doppler weather radar LG Prokopenko, KI Prokopenko, FJ Yanovsky, LP Ligthart European Radar Conference, 2005. EURAD 2005., 363-366 , 2005 2005 Citations: 1
Comparison of Different CFAR Algorithms at Detecting a Target Moving Through a Non-uniform Clutter Environment F Yanovsky, I Prokopenko, A Pitertsev, H Rhee, K Prokopenko 2025 26th International Radar Symposium (IRS), 1-6 , 2025 2025
