The results of recording the quadrature components of the signal by means of the ground measuring complex of installation of coherent sounding in the short-wave range of radio waves at the test site of the Moscow State University

The problem of remote diagnostics of a "rough" earth's surface and dielectric subsurface structures in the shortwave radio wave band is considered. A new incoherent method for estimating the signal-to-noise parameter is proposed. Specification was carried out for the ionospheric case. This range makes it possible to diagnose a subsurface layer of the earth, since the scattering parameter is also formed by inhomogeneities in the dielectric permeability of subsurface structures. By using this method in the organization of monitoring sounding, it is possible to identify the areas of variation of these media, for example, for assessing seismic hazard, hazardous natural phenomena, changes in ecosystems, and also for some extreme events of anthropogenic nature. Also, these techniques can be used to develop a system for monitoring, monitoring and forecasting emergencies of natural and man-made nature, as well as for assessing the risks of emergencies. The idea of the method for determining this parameter is that, by having synchronous information about a wave reflected from the ionosphere and about a wave reflected from the earth and the ionosphere (or having passed the ionosphere twice when probing from a satellite), it is possible to extract information about the scattering parameter. The paper presents the results of recording the quadrature components of the signal by means of the ground measuring complex of installation of coherent sounding in the short-wave range of radio waves at the test site of the Moscow State University (Moscow). A comparative analysis is performed and it is shown that according to the analytical (relative) accuracy of the definition of this parameter the new method is an order of magnitude larger than the widely used standard method. An analysis of the analytical errors in estimating this parameter allowed us to recommend a new method instead of the standard one.