Abstract
Results of application of theory of fractal and chaos, scaling effects and fractional operators in the fundamental issues of the radio location and radio physic are presented in this paper. The key point is detection and processing of super weak signals against the background of non-Gaussian intensive noises. The main ideas and strategic directions in synthesis of fundamentally new topological radar detectors of low-contrast targets / objects have been considered. The author has been investigating these issues for exactly 35 years and has obtained results of the big scientific and practical worth. The reader is invited to look at the fundamental problems with the synergetic point of view of non-Markovian micro- and macro- systems. The results of big practical and scientific importance obtained by the author were published in four summary reports of the Presidium of Russian academy of science (2008, 2010, 2012, and 2013) and in the report for the Government of Russian Federation (2012).
Highlights
Intensive development of modern radar technology establishes new demands to the radiolocation theory [1,2]
Ideology of a fractal radar [7,8,9,24,30,36,37,43,46,48,51,52] is based on conception of fractal radio systems - Figure 10. Radiolocation and it aims to ascertain what's done and things to do in this field on the basis of the fractal theory
Investigations carried out showed the correctness of the path chosen by the author to improve the radiolocation technique
Summary
Intensive development of modern radar technology establishes new demands to the radiolocation theory [1,2]. Some of these demands do not touch the theory basis and reduce to the precision increase, improvement and development of new calculation methods. The last demands are the most important both in the theory and in practice. Radar detection of unobtrusive and small objects near the ground and sea surface and in meteorological precipitations is an extremely hard problem [1]. One should take into account that the noise from the sea surface and vegetation has nonstationary and multi-scale behavior especially at high incidence angles of the sensing wave
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