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Self-leaning radiovision as a basis of standalone stationary digital radars paradigm

Keywords:

L.V. Savkin – Expert of scientific department, NIO-1, PJSC «Radiofizika» (Moscow) E-mail: solaris.rafo@gmail.com


The general approach on creation of independent stationary digital radars based on application of artificial neural networks is offered. As a basis of the principles of structurally functional creation of independent stationary digital radars paradigm of the radar vision (radiovision) intellectual systems with elements of self-leaning which are built on the basis of the integrated neural network calculator is offered. Within the offered paradigm a row of the general requirements imposed to the modern standalone stationary digital radars is formulated. Special attention in operation is paid to problematic issues of neural network technologies application for creation standalone stationary digital radars. In particular, the questions concerning the principles of self-leaning of radiovision systems are considered, need of use the attention models as one of key characteristics of standalone digital radars is affected, and questions about involvement of concepts of intersystem critics are discussed. In operation a row of the intellectual radio portraiture methods based on application of some private neural networks models with at-traction of the modern Data Mind methods is considered. The possibility of creation of single composite radiovision systems on the basis of the integrated interaction of several standalone stationary digital radars covering big spatial and territorial areas is discussed. The option of an information structure of tasks of radar information processing solved by means of standalone stationary digital radars is offered.
References:

 

  1. Alekseev A.A., Korablev JU.A., SHestopalov M.JU. Identifikacija i diagnostika sistem. M.: Izdatelskijj centr «Akademija». 2009. 352 s.
  2. Bakulev P.A. Radiolokacionnye sistemy: Ucheb. posobie. Izd. 2-e, pererab. i dop. M.: Radiotekhnika. 2007. 376 s.
  3. Bljumin S.L., SHujjkova I.A. Modeli i metody prinjatija reshenijj v uslovijakh neopredelennosti. Lipeck: LEHGI. 2001. 138 s.
  4. Bolotova L.S. Sistemy iskusstvennogo intellekta: modeli i tekhnologii, osnovannye na znanijakh: Ucheb. posobie. FGBOU VPO RGUITP; FGAU GNII ITT «Informika». M.: Finansy i statistika. 2012. 664 s.
  5. Vasin V.A., Vlasov I.B., Egorov JU.M. i dr. Informacionnye tekhnologii v radiotekhnicheskikh sistemakh / Pod red. I.B. Fedorova. M.: Izd-vo MGTU im. N.EH. Baumana. 2003. 672 s.
  6. Galushkin A.I. Nejjronnye seti: osnovy teorii. M.: Gorjachaja linija – Telekom. 2012. 496. s.
  7. Glushhenko P.V. Tekhnicheskaja diagnostika: Modelirovanie v diagnostirovanii i prognozirovanii sostojanija tekhnicheskikh obektov. M.: Vuzovskaja kniga. 2004. 248 s.
  8. Greshilov A.A. Matematicheskie metody prinjatija reshenijj: Ucheb. posobie. Izd. 2-e, ispr. i dop. M.: Izd-vo MGTU im. N.EH. Baumana. 2014. 647 s.
  9. Zagorujjko N.G. Kognitivnyjj analiz dannykh. Akademicheskoe izdatelstvo «GEO». 2012. 203 s.
  10. Kazanovich JA.B. Nelinejjnaja dinamika i obrabotka informacii v mozge. Videodoklad. URL = https://www.youtube.com/ watch?v=HCm5n1H2JFo (15.08.2016).
  11. Kaljaev I.A., Levin I.I., Semernikov E.A., SHmojjlov V.I. Rekonfiguriruemye multikonvejjernye vychislitelnye struktury. Izd. 2-e, pererab. i dop. / Pod obshh. red. I.A. Kaljaeva. Rostov-na-Donu: Izd-vo JUNC RAN. 2009. 344 s.
  12. Knjazeva E.N., Kurdjumov S.P. Zakony ehvoljucii i samoorganizacii slozhnykh sistem. M.: Nauka. 1994. 236 s.
  13. Kout A. V poiskakh robotov. M.: Mir. 1970. 208 s.
  14. Krjukov V.I. Model vnimanija, osnovannaja na principe dominanty i komparatornojj funkcii gippokampa // ZHurnal vysshejj nervnojj dejatelnosti. 2004. T. 54. № 1. S. 10−29.
  15. Oshhepkov P.K., Pavelev V.A., Vajjnberg EH.I., Vajjnberg I.A. Radiovidenie nazemnykh obektov v slozhnykh meteouslovijakh. Ser. «Radiolokacija» / Pod red. V.A. Paveleva. M.: «Radiotekhnika». 2007. 80 s.
  16. Pegat A. Nechetkoe modelirovanie i upravlenie. Izd. 2-e: Per. s angl. M.: BINOM. Laboratorija znanijj. 2013. 798 s.
  17. Redko V.G. Modeli avtonomnogo povedenija i problema proiskhozhdenija intellekta. Matematicheskaja biologija i informatika. 2007. T. 2. № 1. S. 160−180.
  18. Rouz A. Zrenie cheloveka i ehlektronnoe zrenie: Per. s angl. A.A. Gippiusa / Pod red. i s predisloviem V.S. Vavilova. M.: Mir. 1977. 2016 s.
  19. Samsonovich A.V. Kognitivnye arkhitektury nejjronalnykh setejj: prostranstvo, pamjat, ehmocii. URL = http://hdlot.xyz/ watch/4333831353630412330383732343536313 (15.08.2016).
  20. Samsonovich A.V. Funkcionalnye vozmozhnosti biologicheski inspirirovannykh kognitivnykh arkhitektur // Nejjroinformatika-2015. MIFI. Prezentacija. URL = http://neuroinfo.ru/conf/Content/Presentations/Samsonovich2015.pdf (15.08.2016).
  21. Tatuzov A.L. Nejjronnye seti v zadachakh radiolokacii. Kn. 28. M.: Radiotekhnika. 2009. 432 s.
  22. Tekhnologii radiolokacii. K 55-letiju PAO «Radiofizika» / Pod red. B.A. Levitana. M.: Veche. 2015. 672 s.
  23. Topchiev S.A., Nikitin M.V. Razrabotka v PAO «Radiofizika» RLS s cifrovymi AFAR // XIII molodezhnaja nauchno-tekhnich. konf. «Radiolokacija i svjaz – perspektivnye tekhnologii». M.: Izd-vo PAO «Radiofizika». S. 3−10.
  24. Farber V.E. Osnovy traektornojj obrabotki radiolokacionnojj informacii v mnogokanalnykh RLS: Ucheb. posobie. M.: MFTI. 2005. 160 s.
  25. Forsajjt D., Pons ZH. Kompjuternoe zrenie. Sovremennyjj podkhod.: Per. s angl. M.: Izd. dom «Viljams». 2004. 928 s.
  26. KHajjkin S. Nejjronnye seti: polnyjj kurs. Izd. 2-e. M.: Izd. dom «Viljams». 2006. 1104 s.
  27. KHaken G., KHaken-Krell M. Tajjny vosprijatija. M.: Institut kompjuternykh issledovanijj. 2002. 272 s.
  28. KHjubel D. Glaz, mozg, zrenie: Per. s angl. M.: Mir. 1990. 239 s.
  29. SHapiro L., Stokman Dzh. Kompjuternoe zrenie: Per. s angl. M.: BINOM. Laboratorija znanijj. 2006. 752 s.
  30. SHumkov E.A. Obobshhennaja skhema adaptivnykh kritikov // Nauchnye trudy KubGUTU. 2015. № 11. S. 1−9. URL = http://ntk.kubstu.ru/file/622 (13.08.2016).
  31. EHshbi U.R. Vvedenie v kibernetiku. M.: Inostrannaja literatura. 1959. 432 s.
  32. Ashby W.R. Principles of the Self-Organizing Dynamic System // Journal of General Psychology. V. 37. P. 125−128.
  33. Bishop C.M. Pattern Recognition and Machine Learning. Springer. 2006. 738 p.
  34. Hauck S. Reconfigurable computing. The theory and practice of FPGA-based computation. Morgan Kaufmann Publ. 2007. 944 p.
  35. Jiawei H., Micheline K., Jian P. Data Mining: Concepts and Techniques. Third Edition. Elsevier. 2012. 703 p.
  36. Kryukov V.I., Borisyuk G.N., Borisyuk R.M. et al. Metastable and unstable states in the brain // Stochastic Cellular Systems: Ergodicity, Memory, Morphogenesis / Eds Dobrushin R.L., Kryukov V.I., Toom A.L. Manchester, UK, New York. NY: Manchester Univ. Press. 1990. P. 226−357.
  37. Muthuramalingam A., Himavathi S., Srinivasan E. Neural Network Implementation Using FPGA: Issues and Application // Journal of Information and Communication Engineering 4:6. 2008.
  38. Newell A. Unified Theories of Cognition. Cambridge, Massachusetts: Harvard University Press. 1990. 549 p.
  39. Rewienski M., White J. A trajectory piecewise-linear approach to model order reduction and fast simulation of nonlinear circuits and micromachined devices // IEEE Trans. Comput.-Aided Design Integr. Circuits and Systems. 2009. V. 26. № 12. P. 2116−2129.

 

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