Predicate algebra application for air objects recognition by the radar spectral image
DOI:
https://doi.org/10.15587/1729-4061.2014.29737Keywords:
predicate algebra, air objects recognition, spectral image, clutter, human-operatorAbstract
The possibility of predicate algebra application for air objects recognition by the radar spectral image is analyzed in the paper. The author examines the human-operator's decision-making algorithms to analyze the features of clutter and air objects signals spectra. The spectral pattern is described by the predicate on the set of spectral channels, which have exceeded a certain threshold value. Features-predicates, by a combination of which the instantaneous spectrum uniquely correlates with one of the spectrum types, are introduced to identify the spectral types. Air objects recognition is held by solving the developed equations of predicate operations. Based on the obtained equations, functional diagram of the automatic determination of the spectral types is constructed.
As a result it is shown that the application of mathematical tools of predicate algebra allows automatic and real-time performance of all operations on the identification of features and radar recognition of air objects by the spectral image of the received signals.
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