Comparative analyzing the efficiency of four methods of spatial signal filtering amid jam conditions in radar system with planar antenna array
DOI:
https://doi.org/10.34169/2414-0651.2026.2(50).32-43Keywords:
radar system, electronic countermeasures, radar electronic counter-countermeasures, spatial filtering, planar antenna array, maximum likelihood method, recursive matrix inversion method, side-lobe cancellation method, logic signal processing method, signal processing algorithm, jamAbstract
We investigate the solution of spatial signal filtering problem under jam conditions in antenna array with digital signal processing, so that as the spatial filtering methods we use maximum likelihood method; recursive matrix inversion method; side-lobe cancellation method; logic signal processing method. It is underlined that algorithms of realizating aforementioned radar electronic counter-countermeasures methods create the basis for developing active models of state-of-the art ground-based radar systems functioning. The developed models are exploited for experimental research of comparative analyzing the efficiency of four chosen methods of radar electronic counter-countermeasures, so that the severe jam influence upon radar system with planar antenna array is investigated by Monte-Carlo method realized on the basis of special software. The developed models allow substantiating main technical requirements for planar antenna arrays with digital signal processing of perspective radar systems operating amid influence of on-board electronic warfare means of UAVs and/ or aircrafts. We develop the field pattern model of planar antenna array with rectangular element arrangement allowing us investigate both beamforming process and side-lobe levels. As a criterion of spatial filtering efficiency we introduce correlation coefficient between the received signal and the signal in the output of antenna array obtained after spatial filtering which value must increase 0.5. We analyze the computational complexity of four aforementioned methods of spatial filtering and estimate computational capacity of signal processing system in floating-point operations per second that is necessary to realize these four methods. We conclude that the most efficient methods of spatial filtering are both maximum likelihood and recursive matrix inversion methods however they require the higher computational capacity of signal processing system.
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Copyright (c) 2026 Володимир Твердохлібов,Андрій Попов,Сергій Зібін,Любов Білобородова
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