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Reducing the prior identification uncertainty of the bearing of active interference sources
Author(s) -
A. M. Batkovsky,
E. B. Mazakov,
V. Ya. Trofimets,
Elena Trofimets,
A. V. Fomina
Publication year - 2021
Publication title -
radiopromyšlennostʹ
Language(s) - English
Resource type - Journals
eISSN - 2541-870X
pISSN - 2413-9599
DOI - 10.21778/2413-9599-2021-31-1-7-15
Subject(s) - bearing (navigation) , interference (communication) , identification (biology) , computer science , intersection (aeronautics) , position (finance) , energy (signal processing) , magnetic bearing , control theory (sociology) , artificial intelligence , engineering , mathematics , control (management) , statistics , telecommunications , electrical engineering , magnet , channel (broadcasting) , botany , finance , economics , biology , aerospace engineering
Problem statement. In measuring the spatial coordinates of sources of active interference, one of the main tasks is to identify their bearings. This problem belongs to the class of multi-alternative problems of statistical choice of hypotheses, the solution of which becomes much more complicated with an increase in the number of sources of active interference. Objective. Reduce the prior uncertainty in identifying bearings of active interference sources due to the use of differences in their energy characteristics at the stage of primary processing of interference signals, recalculated to the points of intersection of bearings. Results. The article discusses the processing features of bearing information in a two-position radar system. It is shown that in these systems, due to the absence of redundant information, the identification of bearings is a multi-alternative problem of statistical choice of hypotheses. The analysis of the matrix of coordinates of intersections of azimuthal bearings is carried out, a rule for identifying possible hypotheses of identification is formulated. It is proposed to use the energy differences of interference signals to reduce the prior uncertainty in identifying bearings. It is shown that a measure of this difference can be the value of the correlation integral, calculated at the stage of primary processing of interference signals. Practical implications. The principle of bearing identification considered in the article can be used to implement the identification of bearings from sources of active interference and other various radio emission objects, including space ones, when upgrading the mathematical and software systems for information processing.

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