Electrodynamic method in bistatic radar - real and artificial targets

Author:

Yatsyshen V. V.1,Gordeev A. Y.2

Affiliation:

1. Federal Autonomous Educational Institution of Higher Education “Volgograd State University”

2. Federal State Budget Educational Institution of Higher Education “Moscow Technological University”

Abstract

The research shows that the real aerial weapon, i.e. hypersonic missile warhead and the target simulator of the MALD type, in bistatic radar result in significantly different topological scattering patterns when taking into account the radiation polarization. Radiation with p -polarization allows for a more expressive topological scattering pattern than in the case of s -polarization, and the θ angle change of the place gives a brighter relief pattern with alternating maxima and deep minima, which leads to an assumption about a high resolving power when identifying the objects by means of the gradient method. A special difference between the two objects, i.e. the target simulator and the missile warhead, can be observed in the case of s -polarization: the patterns differ significantly in topology, the missile maxima regions occupy a larger area, while the minima are much deeper

Publisher

Almaz-Antei Air and Space Defence Corporation

Reference17 articles.

1. Gordeev A.Yu., Yatsyshen V.V. Perspektivnye metody povysheniya effektivnosti podavleniya passivnykh pomekh sistemami selektsii dvizhushchikhsya tselei // Elektromagnitnye volny i elektronnye sistemy. 2015. T. 20. № 3. S. 40-52.

2. Yatsyshen V.V., Gordeev A.Yu. Elektrodinamicheskie metody selektsii tselei // Vestnik Kontserna PVO «Almaz-Antei». 2016. № 1. S. 61-68.

3. Yatsyshen V.V., Gordeev A.Yu. Elektrodinamicheskie metody selektsii tselei - analiz gradientov // Vestnik Kontserna VKO «Almaz - Antei». 2016. № 3. S. 3-10.

4. ADM-160C MALD-J. USA: Raytheon, 2012. URL: http://www.deagel.com/Protection-Systems/ADM-160C-MALD-J_a000989002. aspx (data obrashcheniya 23.11.2017).

5. Disrupting Enemy Air Defense Systems. URL: http://www.raytheon.com/capabilities/ products/mald (data obrashcheniya 23.11.2017).

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