A.V. Zhuravlev1, V.V. Kiryushkin2, S.I. Babusenko3, V.G. Markin4

1-4 JSC RIE “PROTEK” (Voronezh, Russia)

1 protek@protek-vrn.ru; 2 kiryushkin.vlad@mail.ru; 3 serbs@mail.ru; 4 marvigs@mail.ru

Formulation of the problem. The main means of protecting the navigation equipment of consumers of the global navigation satellite system from intentional interference is the spatial selection of information signals using an adaptive antenna array. In this case, the weight coefficients of the antenna array must be calculated without using information about the directions to the signal and interference sources. To calculate the weighting coefficients, the eigenvectors of the correlation matrix of the input signals of the antenna array, obtained during its spectral decomposition, can be used.

Purpose. The purpose of this work is to present an algorithm for spatial interference compensation based on the spectral decomposition of the correlation matrix of the input signals of an adaptive antenna array and to evaluate its effectiveness.

Results. An algorithm for spatial compensation of interference in a four-element adaptive antenna array is presented, based on the spectral decomposition of the correlation matrix of its input signals. The effectiveness of the presented algorithm was assessed using computer simulation. It was found that when the input of the antenna array was exposed to three interferences with an amplitude 500-2000 times greater than the amplitude of the information signal, the level of interference at the output of the antenna array decreased by more than 4000 times.

Practical significance. The results obtained can be used in the development of a compensator for interference signals of navigation equipment of consumers of the global navigation satellite system.

Zhuravlev A.V., Kiryushkin V.V., Babusenko S.I., Markin V.G. Compensation of high-power interference using eigenvectors correlation matrix of the adaptive antenna array. Radiotekhnika. 2024. V. 88. № 7. P. 104−110. DOI: https://doi.org/10.18127/j00338486-202407-19 (In Russian)

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