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JOURNALS // Vestnik KRAUNC. Fiziko-Matematicheskie Nauki // Archive

Vestnik KRAUNC. Fiz.-Mat. Nauki, 2017 Number 4(20), Pages 9–27 (Mi vkam217)

ATMOSPHERE PHYSICS

Comparative research of various methods for determining the characteristics of an electromagnetic wave reflected from a scattering diffraction screen in the propagation of a radio signal in the Earth-Ionosphere channel in the short-wave range of radio waves with use of the experimental equipment of coherent reception of a ground-based measuring complex

S. Yu. Belov

M.V. Lomonosov Moscow State University

Abstract: Monitoring of the earth’s surface by remote sensing in the short-wave band can provide quick identification of some characteristics of natural systems. This band range allows one to diagnose subsurface aspects of the earth, as the scattering parameter is affected by irregularities in the dielectric permittivity of subsurface structures. The new method is suggested. This method based on the organization of the monitoring probe may detect changes in these environments, for example, to assess seismic hazard, hazardous natural phenomena, changes ecosystems, as well as some man-made hazards and etc. The problem of measuring and accounting for the scattering power of the earth’s surface in the short-range of radio waves is important for a number of purposes, such as diagnosing properties of the medium, which is of interest for geological, environmental studies. In this paper, we propose a new method for estimating the parameters of incoherent signal/noise ratio. The paper presents the results of comparison of the measurement method from the point of view of their admissible relative analytical errors. A comparative analysis and shows that the analytical (relative) accuracy of the determination of this parameter new method on the order exceeds the widely-used standard method. Analysis of admissible relative analytical error of estimation of this parameter allowed to recommend new method instead of standard method

Keywords: SW-range, the scattering parameter signal/noise ratio, Ionosphere.

UDC: 523.74

MSC: 86A10

Received: 28.11.2017

DOI: 10.18454/2079-6641-2017-20-4-9-27



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