Reconstruction of Algorithms for Spread Spectrum Signals Detection into a Frame of the Inductive Modeling Method. Bohdan Yavorskyy, Yaroslav Dragan, Lyubomyr Sicora

Abstract. An approach for development a high performance algorithm of spread spectrum signal detection is examined. A preliminary specification of detection tasks for a spectral description of signals is considered. As an example of detection a deterministic frequency hopped signal being in a mixture with a periodically correlated noise of a wide frequency band ADC is given. Methods of a spectrum analyzing of the mixture is discussed. Optimization of parameters of algorithms in the methods of spectral analyses for detection of spread spectrum signals is reconstructed as the inductive modeling method of handling of these parameters.

Keywords. Spread spectrum signal, detect, periodical correlated ADC noise, spectral description, parameter optimization, inductive modeling method

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