S.I. Gusev - Ph. D. (Eng.), Associate Professor, Department Radioengineering Devices, Ryazan State Radio Engineering University. E-mail: s.i.gusev@inbox.ru
Yu.N. Parshin - Dr. Sc. (Eng.), Professor, Head of Department "Radioengineering Devices", Ryazan State Radio Engineering University. E-mail: parshin.y.n@rsreu.ru

Compensation of interferences is one of the basic operations of optimal estimation-correlation-compensation signal processing. Algorithms of compensation for the complex of interferences representing the sum of different origin interferences with differences in the values of parameters are researched. Characterizing a sum of interferences as a complex of interferences is advisable in the case when differences in properties lead to different algorithms for the compensation of each interference separately. At the same time in order to compensate a complex of interferences, using a complex of appropriate compensators is advisable. This approach is extended to the case of compensation of complex spatially concentrated interferences using antenna array with amplitude-phase control and variable spatial structure, as well as non-linear interference canceller with the angular modulation. The aim of the paper is to improve the quality of complex interference compensation in conditions of restrictions on the number of adjusted elements of the antenna array, as well as optimization of spatial structure of compensation system. The synthesis of estimation-correlation-compensation signal processing algorithm in presence of both broadband Gaussian interferences and a non-Gaussian interference is carried out. It is assumed that the processing is realized by optimizing amplitude-phase distribution at the aperture of antenna array, by optimizing the spatial structure of processing system, as well as by the subsequent non-linear compensation of non-Gaussian interference and by correlation processing. Analytical expression for the signal-to-noise ratio obtained, thereby allowing optimization of the spatial structure. The developed algorithm includes the operations of wideband interference spatial decorrelation, optimal space-time signal processing on a background of non-Gaussian noise and on a background of uncorrelated Gaussian noise. The estimation-correlation-compensation algorithm that takes into account the spatial distortion of signal and non-Gaussian noise in wideband interference decorrelators is used. The adopted criterion allows to show the impact of spatial characteristics of signal and interferences, and also the impact of spatial structure of the processing system.