PROPOSALS TO IMPROVE THE INFORMATION CAPABILITIES OF COASTAL-BASED RADAR STATIONS FOR SURVEILLANCE OF SURFACE AND AIR OBJECTS
Article Sidebar
Main Article Content
Abstract
Sea-based radar stations (RS) are widely used for solving the tasks of radar surveillance of surface objects (SO) and air objects (AO). The subject of the article is the mechanisms of radio wave propagation in the boundary layer of the atmosphere. The aim is to investigate the possibilities of improving the accuracy of measuring the range and radial velocity of SO and AO observed beyond the line-of-sight of coastal-based RS. Objective: to analyse the spatial and temporal parameters and properties of waveguide layers above the water surface. Methods used: maximum likelihood and frequency. The following results were obtained. The results of experimental studies of seasonal and daily changes in the parameters of the lower troposphere layer in the Black Sea coastal zone and the parameters of tropospheric radio waveguides are presented. The procedure for calculating the energy transmission losses during radio wave propagation in the boundary layer of the atmosphere is presented, and the conditions for detecting SO and AO beyond the radar line-of-sight are determined. Recommendations for increasing the range of detection of SO and AO are given, which are associated with the possibility of predicting the existence of tropospheric radio waveguides by using data on the current conditions of radio wave propagation over the sea based on the signals of the automatic ship identification system AIS. Conclusions. Proposals have been developed to improve the accuracy of measuring the range and radial velocity of SO and AO at waveguide propagation of radio waves over the sea surface. A promising area for further research may be to identify ways to optimise the measurement of angular coordinates in modern RS during waveguide propagation of radio waves over the sea surface.
Article Details
References
Каbаnov, V (1996), The structure of the atmospheric refractive index and diagnostics of USW propagation over the sea, synopsis of diss … 01.04.03 radiophysics, Institute of Radiophysics and Electronics, Kharkіv, available at: https://fizmathim.com/struktura-koeffitsienta-prelomleniya-atmosfery-i-diagnostika-usloviy-rasprostraneniya-ukv-nad-morem
Karlov, V., Kvitkin, K., Karlov, D. and Strutsinskiy, O. (2016), “The elevated radio waveguides to increase the range low-altitude targets detection over the sea”, Systems of Arms and Military Equipment, Vol. 1(45), pp. 153–156, available at: https://www.hups.mil.gov.ua/periodic-app/article/16341
Lobkova, O. and Nadobenko, A. (1981), “Experimental study of signal fluctuations on a sea route”, News of Higher Educational Institutions. Radiophysics, Vol. 24, No. 1, pp. 27–33. https://radiophysics.unn.ru/sites/default/files/papers/1981_1_27.pdf
Kuznietsov, O., Kolomiitsev, O., Kiyko, A., Kovalchuk, A. and Sadovyi, K. (2020), “Analysis of possibilities of providing of necessary exactness of measuring of spatial coordinates of air objects in the radio-location station of accompaniment with phase aerial by a grate”, Advanced Information Systems, Vol. 4(1), pp. 91–96, doi: https://doi.org/10.20998/2522-9052.2020.1.13
Karlov, V., Kuznietsov, O., Kolomiitsev, O., Krasnoshapka, I., Petrushenko, I. and Strutsinskiy, O. (2022), “Possibilities of accounting for the influence of the troposphere when measuring the angular coordinates and height of aerodynamic object”, Control, Navigation and Communication Systems, Vol. 3(69), pp. 121-127, doi: https://doi.org/10.26906/SUNZ.2022.3.121
Wang, C., Gao, Z.H., Huang, J.T., Zhao, K. and Li, J. (2015), “Smoothing methods based on coordinate transformation in a linear space and application in airfoil aerodynamic design optimization”, Science China Technological Sciences, Vol. 58(2), pp. 297–306, doi: https://doi.org/10.1007/s11431-014-5745-4
Kuznietsov, O., Kolomiitsev, O., Kitov, V. and Karlov, A. (2020), “Assessing the accuracy of the current measurement of the radial velocity of an aerodynamic object in a coherent-pulse tracking radar”, Science and technology of the air force of Ukraine, Vol. 3(40), pp. 91–99, doi: https://doi.org/10.30748/nitps.2020.40.10
Nuhoglu, M.A., Alp, Y.K., Bayri, A. And Cirpan, H.A. (2021), “Iterative Semidefinite Relaxation for Geolocation of Uncooperative Radars Using Doppler Frequency Measurements”, IEEE Transactions on Aerospace and Electronic Systems, Vol. 57, Is. 2, pp. 1197–1210, doi: https://doi.org/10.1109/TAES.2020.3046081
Yevseiev, S., Kuznietsov, O., Biesova, O., Kyrychenko, D., Lukashuk, O., Milevskyi, S., Pohasii, S., Husarova, I., Goloskokova, A. and Sobchenko, V. (2021), “Development of a method for estimating the effect of transformation of the normalized frequency mismatch function of a coherent bundle of radio pulses on the quality of radar frequency resolution”, Eastern-European Journal of Enterprise Technologies, Vol. 4(112), pp. 13–22, doi: https://doi.org/10.15587/1729-4061.2021.238155
Kuznietsov, O., Karlov, V., Kolomiitsev, O., Sadovyi, K. and Biesova, O. (2020), “The influence of statistical characteristics of the fluctuations of the radiation signal initial phases on the accuracy of the measurement aerodynamic object radial velocity”, Advanced Information Systems, Vol. 4, No. 2, pp. 123–129, doi: https://doi.org/10.20998/2522-9052.2020.2.18
Yevseiev, S., Kuznietsov, O., Herasimov, S., Horielyshev, S., Karlov, A., Kovalov, I., Kolomiitsev, O., Lukashuk, O., Milov, O. and Panchenko, V. (2021), “Development of an optimization method for measuring the Doppler frequency of a packet taking into account the fluctuations of the initial phases of its radio pulses”, Eastern-European Journal of Enterprise Technologies, Vol. 2/9 (110), pp. 6–15, doi: https://doi.org/10.15587/1729-4061.2021.229221
Karlov, V., Petrushenko, N., Lukashuk, H. and Chelpanov, А. (2008), “Experimental research of parameters of tropospheric radiowave guides above the sea”, Scientific Works of Kharkiv National Air Force University, No. 3(18), pp. 37–40, doi: https://www.hups.mil.gov.ua/periodic-app/article/3829
(2005), Prediction procedure for the evaluation of interference between stations on the surface of the Earth at frequencies above about 0.7 GHz, ITU-R P.452-12, Radiowave propagation, available at: https://www.itu.int/rec/R-REC-P.452-12-200503-S/en
(2007), Recommendation P.834-6 (01/07). Effects of tropospheric refraction on radiowave propagation, available at: https://www.itu.int/rec/R-REC-P.834-6-200701-s/en
(2017), ITU-R Recommendations, available at: http://www.itu.int/pub/R-REC.
(2001), Recommendation ITU-R P.2001-3, A general purpose wide-range terrestrial propagation model in the frequency range 30 MHz to 50 GHz, available at: https://www.itu.int/rec/R-REC-P.2001-3-201908-S/en
Gomathi, B., Saravana Balaji, B., Krishna Kumar, V., Abouhawwash, M., Aljahdali, S., Masud, M. and Kuchuk, N. (2022), “Multi-Objective Optimization of Energy Aware Virtual Machine Placement in Cloud Data Center”, Intelligent Automation and Soft Computing, Vol. 33(3), pp. 1771–1785, doi: http://dx.doi.org/10.32604/iasc.2022.024052
Zohuri, B. (2020), “Fundaments of Radar”, Radar Energy Warfare and the Challenges of Stealth Technology, Springer, Cham, 110 p., doi: https://doi.org/10.1007/978-3-030-40619-6_1
Volosyuk, V., Gulyaev, Y., Kravchenko, V., Kutuza, B. G., Pavlikov, V. V. and Pustovoit, V. I. (2014), “Modern methods for optimal spatio-temporal signal processing in active, passive, and combined active-passive radio-engineering systems”, J. Commun. Technol. Electron, Vol. 59, pp. 97–118, doi: https://doi.org/10.1134/S1064226914020090
Herasimov, S., Tymochko, O., Kolomiitsev, O., Aloshin, G., Kriukov, O., Morozov, O. and Aleksiyev, V. (2019), “Formation Analysis Of Multi-Frequency Signals Of Laser Information Measuring System”, EUREKA: Physics and Engineering, Vol. 5, pp. 19–28, doi: https://doi.org/10.21303/2461-4262.2019.00984
Kovalenko, A. and Kuchuk, H. (2022), “Methods to Manage Data in Self-healing Systems”, Studies in Systems, Decision and Control, Vol. 425, pp. 113–171, doi: https://doi.org/10.1007/978-3-030-96546-4_3
Barton, D.K. (2012), Radar Equations for Modern Radar, Artech House, London, 264 p., available at: https://www.scribd.com/document/293606437/Radar-Equations-for-Modern-Radar
Kuchuk, G.A., Akimova, Yu.A. and Klimenko, L.A. (2000), “Method of optimal allocation of relational tables”, Engineering Simulation, Vol. 17(5), pp. 681–689, https://www.scopus.com/record/display.uri?eid=2-s2.0-0034512103&origin=resultslist
Kuchuk, G., Nechausov, S. and Kharchenko, V. (2015), “Two-stage optimization of resource allocation for hybrid cloud data store”, International Conference on Information and Digital Technologies, Zilina, pp. 266–271, doi: http://dx.doi.org/10.1109/DT.2015.7222982
Karlov, V., Radyukov, А., Pichugin, I. and Karlov, D. (2015), “Statistical descriptions of radio-location signals, reflected from local objects in the conditions of anomalous refraction”, Science and technology of the air force of Ukraine, Vol. 4 (21), pp. 71–74, available at: https://www.hups.mil.gov.ua/periodic-app/article/13269
Herasimov, S., Roshchupkin, E., Kutsenko, V., Riazantsev S. and Nastishin, Yu. (2020), “Statistical analysis of harmonic signals for testing of Electronic Devices”, International Journal of Emerging Trends in Engineering Research, Vol. 8 (7), pp. 3791–3798, doi: https://doi.org/10.30534/ijeter/2020/143872020
Yaloveha, V., Podorozhniak, A. and Kuchuk, H. (2022), “Convolutional neural network hyperparameter optimization applied to land cover classification”, Radioelectronic and Computer Systems, No. 1(2022), pp. 115–128, DOI: https://doi.org/10.32620/reks.2022.1.09
Dun B., Zakovorotnyi, O. and Kuchuk, N. (2023), “Generating currency exchange rate data based on Quant-Gan model”, Advanced Information Systems, Vol. 7, no. 2, pp. 68–74, doi: http://dx.doi.org/10.20998/2522-9052.2023.2.10
Meneghini, R. and Kim, H. (2017), “Minimizing the Standard Deviation of Spatially Averaged Surface Cross-Sectional Data from the Dual-Frequency Precipitation Radar”, IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, Is. 3, pp. 1709–1716, No. 7776758, doi: https://doi.org/10.1109/TGRS.2016.2630669
Zhang, Yu. and Zhang, Y. (2023), “An Adaptive Parameter Estimation Algorithm of Radar Linear Frequency Modulation Signal Based on Nonlinear Transform under Different Alpha Stable Distribution Noise Environments”, IEEE Journal on Miniaturization for Air and Space Systems, Vol. 4(4), pp. 389–399, doi: https://doi.org/10.1109/JMASS.2023.3304139
Liu, L., Ji, Y. and Zhang, L. (2022), “Time-domain and frequency-domain exponential ambiguity functions and their application in joint estimation of delay and Doppler shift”, IET Radar, Sonar and Navigation, Vol. 16(3), pp. 437–455, doi: https://doi.org/10.1049/rsn2.12194
Yan, H., Chen, C., Jin, G., ...Zhang, G. and Zhu, D. (2023), “Detection of sea-surface target of coastal defense radar based on Stacked Autoencoder (SAE) algorithm”, IET Radar, Sonar and Navigation, Vol. 16(2), pp. 291–305, doi: https://doi.org/10.1049/rsn2.12183