FIELD: physics.
SUBSTANCE: mixture of signal and noise is discretised in time and voltage quantised. Further, the frequency-time distribution matrix of the energy density of the signal and noise mixture in the analysis frequency band is calculated. The derived matrix is the primary feature space. In order to form radio-frequency radiation source technical identification features, the initial feature space is transformed into new space. For this purpose, a symmetrical matrix is formed based on the frequency-time distribution matrix of energy density, for which a matrix of eigen values calculated. Principal values are picked out from the derived set of eigen values using the three sigma rule known in the theory of probability. This procedure enables to pick out the most informative features. Eigen vectors are then calculated for the principal eigen values. In order to form secondary technical identification features of radio-frequency radiation sources, third-order moments are calculated for each of the calculated eigen vector.
EFFECT: formation of technical identification (TI) features of radio-frequency radiation sources (RFRS) with possibility of picking out contrast features form a received radio signal under the effect of interference owing to presentation of the input signal through frequency-time distribution (FTD) and subsequent linear transformation.
6 dwg
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Authors
Dates
2010-10-10—Published
2008-12-01—Filed