Statistical model of adaptive system compensation of noise interference in the radar when detecting hydrometeorological formations in the atmosphere

Yu.M. Popovnin, D.M. Puzanov, V.F. Grishko

The Black Sea Higher Naval School named after P.S. Nakhimov, RF, Sevastopol, Dybenko St., 1а

E-mail: yuri-sevastopol@yandex.ru

DOI: 10.33075/2220-5861-2022-1-121-130

UDC 621.396.96                                                         

Abstract:

   The work of a meteorological radar to detect hydrometeors in the atmosphere can occur in a rather complex interference environment due to the influence of interference vibrations both along the main and along the side lobes of the antenna pattern. This circumstance causes a significant efficiency drop of both space-time and polarization-time adaptive algorithms. One of the promising ways to suppress noise interference with an arbitrary structure of the spatial power spectrum is the integration of adaptive methods of spatially and polarizationally spaced reception.

   In this paper, based on sufficient statistics, an adaptive combined spatial-polarization system for detecting hydrometeorological formations in the atmosphere is synthesized. Analytical expressions for stationary values of the weight vectors of the spatial processing system are obtained, and the steady-state value of the complex weight coefficient of the polarization processing system is determined, which is necessary for calculating the potential performance indicators of the combined system.

   The simulation model developed on the basis of Gaussian-parametric approximation of input sample statistics allows us to study in dynamics the process of detecting signals reflected from atmospheric hydrometeors against the background of noise interference with regular polarization. The results of simulation modeling, presented as a dependence of the relative dispersion of the process at the output of the system under study on the number of the adaptation step, demonstrate the possibility of stable isolation of a pulsed extended signal from atmospheric hydrometeors under conditions of arbitrary location of sources of interference vibrations.

Keywords: hydrometeors, complex weight coefficient of the polarization processing system, non-stationary random process, estimation of the variance of the output sample.

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