Journal of Siberian Federal University. Engineering & Technologies / Methods of Recognition of Micro-Dopler Portraits on the Basis of Correlation Wavelet Analysis

Full text (.pdf)
Issue
Journal of Siberian Federal University. Engineering & Technologies. 2022 15 (6)
Authors
Ashryapov, Marat I.
Contact information
Ashryapov, Marat I.: JSC CNIRTI named after A. I. Berg Moscow, Russian Federation;
Keywords
correlator; Doppler shift; complex signal sequence detection; filtering based on a template and its wavelet prototype
Abstract

Based on the correlation analysis, a method for detecting Doppler portraits based on a priori data is proposed. The method implements the structure of special compensating Doppler filters for velocity channel analysis in radar motion detection sensors. And it is relevant in the tasks of image recognition of a high-speed Doppler portrait. The problems of the classical correlator are outlined. Examples are given with the results of correlations both on simple signals and on those close to real prototypes. The operation of wavelet correlator filters based on the custom wavelet template is demonstrated in comparison with the classical correlator

Pages
759–767
DOI
10.17516/1999-494X-0434
Paper at repository of SibFU
https://elib.sfu-kras.ru/handle/2311/149205

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