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  5. Application of BDS-statistics for recognition of air targets by the range profiles

Application of BDS-statistics for recognition of air targets by the range profiles

F. Zots
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Description: The known methods of analysis range profile aerial targets for their recognition can be complemented by nonlinear time series analysis. One of the effective methods of detecting the dependence of time series values is the BDS-statistics. In the work proposed for the recognition of classes (types) of aerial targets application of the BDS test, which is a tool for identifying meas- ures of dependencies in the observed process. Range profile of the target or the reflected signal should be analyzed as a time series, which can be formalize using the following sequence of transformations: reflected signal or range profile of the target; dependence of values over time; range of values of BDS statistics; type of target. The dependence of the BDS statistics for range profiles (reflected signals) of cruise missiles (AGM-86C and Taurus KEPD 350) and artillery shells (“Grad” systems of caliber 122 mm and OF25 caliber 152 mm) is obtained depending on the angle of targets with vertical and horizontal polarization. The values of BDS statistics are proportional to the size and complexity of the shape of the target, which manifests itself in the struc- ture of the reflected signal under the condition of High-Resolution. A comparative analysis of the results of calculating the values of BDS statistics for range profiles and reflected signals of air targets is carried out. The values of BDS statistics with horizontal polarization strongly depend on the aspect angle of the target, which complicates the recognition, since the ranges of the values of BDS statistics overlap. It is shown that with vertical polarization, the calculated values of the BDS statistics for the reflected signals of each target correspond to a specific range, which makes it possible to recognize target types regardless of the aspect angle. The lateral aspect angle of the target  90 is special and ambiguous in some cases, but even under such conditions, it is possible to recognize targets based on the calculation of BDS statistics. The results of the work can be used in the development of recognition algorithms for classes (types) of air targets in radar systems in which ultra wideband signals are used.


Keywords: air target recognition, range profiles, reflected signal, BDS-statistics.

References

1. Leshchenko, S.P. (2009), “Razvitie teorii i tehniki radiolokatsionnogo raspoznavaniya vozduschnyh tselei” [Develop- ment of radar theory and technology Recognition of air targets], Applied Radioelectronics, No. 4(8), pp. 490-496.
2. Kazakov, E.L., Kazakov, A.E., Kolomiicev, A.V. and Sadovyi, K.V. (2015), “Raspoznavanie tselei po signalnoi infor- matsii v odnopozitsionnyh i mnogopozitsionnyh lokatorah” [Targets recognition by signal information in the single-position and multi-position radars], Miska drukarnya, Kharkiv, 459 p.
3. Kotov, O.B. and Pievtsov, H.V. (2012), “Poglyady schodo pobudovy maibutnyoi systemy protypovitryanoi oborony krainy na osnovi merezhetsentrychnyh tehnologii” [Views on the construction of the country’s future air defens system based on network-centric tecnologies], Science and Tecnology of the Air Force of Ukraine, No. 2(8), pp. 7-14.
4. Dudush, A.S., Tyutyunnik, V.A., Reznichenko, A.A. and Hohoniants, S.U. (2018), “Suchasnyi stan ta problemy protydii malovysotnym, nyzkoshvydkisnyh ta molorozmirnyh BPLA” [State of the art and problems of defeat of low, slow and small unmanned aerial vehicles], Modern Information Technologies in the Sphere of Security and Defence, No. 1(31), pp. 121-131.
5. Liao, K., Gui, G., Chen, Z. and Yang, W. (2011), High resolution range profile based extraction of radar target length, International Journal of the Physical Sciences, No. 6(23), pp. 5503-5510. https://doi.org/ 10.5897/IJPS11.461.
6. Wang, Y., Feng, C., Zhang, Y. and He, S. (2019), Space Precession Target Classification Based on Radar High-Resolution Range Profiles, International www.hindawi.com/journals/ijap/2019/8151620/. Journal of Antennas and Propagation, pp. 1-9, available at:
7. Vasyuta, K.S. (2013), “Razvitie metodov radiolokatsionnogo raspoznavaniya vozduschnyh tselei s primeneniem reku- rentnogo analiza” [Development of air targets radar recognition methods using recurrent analysis], Information Processing Sys- tems, No. 7(114), pp. 55-57.
8. Vasyuta, K.S. (2012), “Klasifikatsiya protsesov v infokomunikatsionnyh radiotehnicheskih sistemah s primeneniem BDS-statistiki” [Classification of processes in the infocommunication radio engineering systems using BDS-statiatics], Problems of Telecommunications, No. 4(9), pp. 63-71, available at: www.nbuv.gov.ua/UJRN/prtel_2012_4_7.
9. Akintunde, M.O., Oyekunle, J.O. and Olalude, G.A. (2015), Detection of Non-Linearity in the Time Series Using BDS Test, Science Journal of Applied Mathematics and Statistics, No. 4(3), pp. 184-187, available at: www.sjams.org/article?journalid=149&doi=10.11648/j.sjams.20150304.13.
10. Vasyuta, K.S. and Zots, F.F. (2013), “Algoritm otsenki vremeni zapazdyvaniya haoticheskogo signala otrazhennogo ot tseli s primeneniem BDS-statistiki v radiolokatsionnyh sistemah” [Algorithm for estimating the delay time of chaotic signal re- flected from the target using BDS-statistics in radar systems], Information Processing Systems, No. 5(112), pp. 17-21.
11. Baranski, K., Gutman, Y. and Spiewak, A. (2018), A probabilistic takens theorem, Dynamical Systems, No. 1, pp. 1-25, available at: www.arxiv.org/abs/1811.05959.
12. Sukharevsky, O.I., Zalevsky, G.S. and Vasilets, V.A. (2016), Modeling of Ultrawideband (UWB) Impulse Scattering by Ae- rial and Subsurface Resonant Objects Based on Integral Equation Solving, Advanced Ultrawideband Radar: Signals, Targets, and Ap- plications, Vol. 5, рp. 195-235. https://doi.org/10.1201/9781315374130.
13. Zalevsky, G.S., Sukharevsky, O.I., Vasilets, V.A. and Surgai, M.V. (2019), Estimation of Radar Scattering Characteris- tics of Artillery Shells in Meter, Decimeter and Centimeter Wavelength Ranges, Radioelectronics and Communications Systems, No. 7(62), pp. 356-367. https://doi.org/ 10.3103/S0735272719070033.

Reference:
 Zots, F.F. (2019), “Zastosuvannia BDS-statystyky dlia rozpiznavannia povitrianykh tsilei za dalnisnymy portretamy” [Application of bds-statistics for recognition of air targets by the range profiles], Systems of Arms and Military Equipment, No. 3(59), pp. 48-54. https://doi.org/10.30748/soivt.2019.59.06.