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  5. Development of air targets radar recognition methods using recurrent analysis

Development of air targets radar recognition methods using recurrent analysis

K.S. Vasiyta
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This paper for the first time presents air targets classes recognition method based on non-linear recursive analysis, which is a tool for detecting the degree of dependence of the observed processes. To solve the problem of recognition it is proposed to consider target range portrait as a linguistic feature, which can be formalized using the following chain: "target range portrait"  structured recurrent chart values  dependence of values  measure of dependence (a measure of determinism). Application of such transformations to the analysis of target range portraits allows to recognize their class with high reliability.
Keywords: air targets classes recognition, range portrait recursive analysis, the quantum-identification