INCREASING INTERFERENCE IMMUNITY OF UAV BOARD INFORMATION TRANSMITTING SYSTEMS: MODELS OF ELECTRONIC WARFARE
- Authors
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- Keywords:
- Array, Array, Array, Array, Array, Array, Array, Array, Array, Array, Array, Array, Array
- Abstract
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To formulate the basic technical requirements for ground-based electronic warfare systems against UAV radio-electronic systems, it is necessary to have both a spatial-energy model of electronic warfare against the on-board control and communication system of the UAV, and a signal-energy model of the on-board control and communication of the UAV. We introduce the constraints determining the developed electronic warfare models. The first model is based on the criterion of electronic counter-measures coefficient, whereas the second one is based on the criterion of electronic counter-counter measures coefficient. We state that the aforementioned electronic warfare models create the basis for substantiating the main specification requirements for ground-based electronic warfare systems, as well as the requirements with respect to electronic counter-counter measures for both UAV board control and communication system. We consider adaptive space filtering algorithm, built on the basis of recursive method of forming inverse covariance matrix estimator, processing the signals of UAV control and communication system operating under severe jamming conditions. On the basis of this algorithm we create mathematical model of anti-jamming UAV board control and communication system functioning under jamming conditions. By created mathematical model with the help of computer simulating signal receiving and processing in circular antenna array we estimate the efficiency of anti-jamming UAV board control and communication system functioning under jamming conditions. We make a conclusion that desired jam suppression coefficient can be achieved by employing 7-element circular antenna array with special configuration based upon recursive method of forming inverse covariance matrix estimator.
- Author Biographies
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Copyright (c) 2023 Сергій Зібін ,Андрій Попов ,Володимир Твердохлібов ,Любов Білобородова
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