Classification of shadow signals created by moving objects
DOI:
https://doi.org/10.3103/S0735272711050025Keywords:
signal classification, main component analysis, fuzzy logicAbstract
A possibility of classifying signals created by objects with different shape that move in the range of shadow bi-static radar [1] is studied. The efficiency of the main components method [2–4] is demonstrated when forming databases that contain the most informative classifying indicators. A classification algorithm for shadow signals is developed based on fuzzy logic theory.
References
D. V. Nezlin, V. I. Kostylev, A. B. Blyakhman, et al., Bistatic Radar: Principles and Practice (John Wiley & Sons Inc., Chichester, 2007).
S. А. Aivazyan, V. М. Bukhshtaber, I. S. Yenyukov, and L. D. Meshalkin, Applied Statistics. Classification and Decrease of Dimensionality (Finansy i Statistika, Moscow, 1989) [in Russian].
А.М. Khotinskii, Factor, Discriminant and Cluster Analysis (Finansy i Statistika, Moscow, 1989) [in Russian].
I. T. Jollife, Principal Component Analysis (Springer, New York, 2002).
М. Abramovich and I. Stigan, Reference Book of Special Functions (Nauka, Moscow, 1979) [in Russian].
V. I. Kostylev and О. V. Polozova, “Eliminating redundant information and decreasing dimensionality of diffraction signals created by moving objects,” in Proc. of XVI Int. Sci. Tech. Conf “Radiolokatsiya, Navigathsiya, Svyaz’,” April 13–15, 2010, Voronezh, Russia (Voronezh, 2010), Vol. 1, pp. 339–347.
А. Leonenkov, Fuzzy Modeling in Matlab and FuzzyTECH (BKhV-Peterburg, St. Petersburg, 2005) [in Russian].
S. D. Shtovba, Design of Fuzzy Systems by Mean of MATLAB (Goryachaya Liniya–Telekom, Moscow, 2007) [in Russian].
