L.E. Mistrov − Dr.Sc. (Eng.), Military Training and Scientific Center
of the Air Force «Air Force Academy named after Professor N.Ye. Zhukovsky and Yu.A. Gagarina» (Voronezh); Professor of the Department, Central Branch of the Russian State University of Justice
E-mail: Mistrov_le@mail.ru
E.V. Kravtsov − Ph.D. (Eng.), Head of the Department, Military Training and Scientific Center
of the Air Force «Air Force Academy named after Professor N.Ye. Zhukovsky and Yu.A. Gagarina» (Voronezh) E-mail: EvgenijKravtsov@mail.ru
M.O. Likhomanov − adjunct,
Military Training and Scientific Center
of the Air Force «Air Force Academy named after Professor N.Ye. Zhukovsky and Yu.A. Gagarin» (Voronezh)
O.N. Dudarikov − Lecturer,
Military Training and Scientific Center of the Air Force «Air Force Academy named after Professor N.Ye. Zhukovsky and Yu.A. Gagarina» (Voronezh)
It is proposed to use the multiplicative signal processing procedures in a radio-electronic system of complex technical control in order to increase its noise immunity and intelligence immunity. The general signal processing scheme is characterized by the introduction of an additional signal extraction unit, partial compensation of autocorrelation function (ACF) side lobes, noise and interference by using an intersection procedure. The proposed solutions allow to process different types of signals with even elements number. Efficiency estimation of proposed scheme is carried out on the basis of simulation results of signal processing on the basis of Barker code with different elements number.
The features of signal processing in the proposed scheme are that the zero value of the cross correlation function (CFS) is at the maximum point, which is a manifestation of the parability property of the analysed signal class; zeroes in autocorrelation function (ACF) and VCF are arranged symmetrically relative to maximum through counting; matching the levels of the ACF fourth part and the VCF to the left and right of the ACF maximum; the opposite of the ACF and WCF petals signs to the left of the maximum and the matching of the signs to the right of the maximum, except for the first neighbor. The simulation results show these features as general properties of this class signals, which allows them to be used to exclude side lobes of ACF by means of sum-difference processing, crossing procedure and accounting for signs (polarities or phases) of lobes.
The proposed method implements separation of any paired signals into two channels at single channel input, which is important from a practical point of view to increase noise immunity and diversity of information transmission systems.
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