Main Article Content

Serhii Indyk
Volodymyr Lysechko


The results of statistical analysis of cross-correlation properties of complex signals’ ensembles, were obtained due to time interval permutations are presented in this paper. The essence of the method is to apply the division of short videopulse sequences at the level of intervals with low interaction in the time domain with different numbers of pulses. By applying the cross-correlation analysis, the maximum emission values of the side lobes of the cross-correlation functions are calculated and its total average value is determined. Based on the obtained values, a series is formed in which the first position is occupied by a time interval in which the value of the maximum emissions of the side lobes of the cross-correlation function has an average value. The determination of the following time intervals is based on the analysis of the rating series and the arrangement of values is carried out in accordance with the selected total average value. Thus, a new average range of the maximum emission values of the side lobes of the cross-correlation function is formed. The average range increases the number of ensembles with satisfactory cross-correlation properties for use in radio communication systems with code division multiplexing, and minimal interaction between signals in the time domain reduces multiple access interference.

Article Details

Information systems research
Author Biographies

Serhii Indyk, Ukrainian State University of Railway Transport, Kharkiv

Senior Lecturer of Transport Communications Department

Volodymyr Lysechko, Ukrainian State University of Railway Transport, Kharkiv

PhD (Technical), Associate Professor, Associate Professor of Transport Communications Department


Ipatov, V.P. (2007), Spread Spectrum and CDMA. Principles and Applications, Technosphera, Moscow, 488 p., ISBN 978-5-94836-128-4.

Semenikhin, V.S. and Pishkin, I.M. (1990), Land mobile radio, Radio and communications, Moscow, 432 p.

Borisov, V.I. (2003), Interference Protection of radio communication systems, Radio and communications, Moscow, 640 p.

Bernard, Sklar (2003), Communications: Fundamentals and Applications, Publishing house “Williams”, Moscow, 1104 p.

Maksimov, M.V. (1999), Protection from radio interference, Soviet radio, Moscow, 496 p.

Varakin, L.E. (1985), Communication systems with noise-like signals, Radio and communication, Moscow, 384 p.

Stepanenko, Y.G. and Lysechko, V.P. (2009), “Method for determining the period of short video pulses in code sequences based on the Heaviside function approximation”, Weapons systems and military equipment, Vol. 4(20), pp. 170-173.