Width estimation of non-Gaussian Doppler velocity spectra of meteorological formations

Dmytro V. Atamanskiy; Andrii V. Semeniaka; Ihor V. Krasnoshapka

doi:10.3103/S0735272721010015

Authors

Dmytro V. Atamanskiy Ivan Kozhedub Kharkiv National Air Force University, Ukraine https://orcid.org/0000-0002-8705-8584
Andrii V. Semeniaka Kvant Radar Systems Scientific Research Institute, Ukraine https://orcid.org/0000-0002-1170-6151
Ihor V. Krasnoshapka Ivan Kozhedub Kharkiv National Air Force University, Ukraine https://orcid.org/0000-0002-2120-5668

DOI:

https://doi.org/10.3103/S0735272721010015

Keywords:

turbulence, recognition of meteorological formations, adaptive lattice filter, correlation coefficient, order of autoregression, DWR

Abstract

The paper considers features of the Doppler velocity spectrum width of meteorological formations obtained on the basis of the pulse-pair method when a velocity Doppler spectrum differs from the Gaussian shape. Since the autoregressive models of various orders are widely used in practice for approximating the echo signals from meteorological formations and taking into account their spectrum shape, we have analyzed the measurement errors while using the pulse-pair method. It is shown that neglecting the information on the shape of Doppler velocity spectrum may lead to unacceptable large measurement errors and distort the true level of danger of meteorological formations. The possible methods of determining the autoregressive model orders are discussed, and the benefits of the method based on threshold processing of α-parameters of adaptive lattice filters are shown. The distribution densities of these parameters are determined for the calculation of recognition threshold of autoregressive model order. The statistical characteristics of recognition obtained by the known and proposed methods are compared. The proposed method in terms of the accuracy of order recognition actually is not inferior to the known methods, but can be implemented directly in the process of measuring the width of Doppler velocity spectrum that sets it apart from the others.

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