Algorithms of Verification of Results of Searching Noise-like Signals

An algorithm of verification of results of searching noise-like signals by their correlation properties is suggested. The algorithm is based on the mechanism of occurrence of some possible points for the signals detection on the main peak of the autocorrelation function. The autocorrelation function of noise-like signals and its properties are considered. The suggested algorithm is substantiated and a mathematical model of the system implementing it in a form of the directed graph is given. The system transfer function is derived with the help of the Mason’s formula. Results of the algorithm modeling are presented and a conclusion is drawn that the search system with verification has better characteristics in comparison with classic systems.