A Review of Existing and Promising Applications of Artificial Intelligence Technologies in Development and Operation of Active Phased Antenna Array Systems
DOI:
https://doi.org/10.22213/2410-9304-2019-4-94-99Keywords:
phased, array, artificial intelligence, model, antenna, machine learningAbstract
The methods used in the synthesis of antenna arrays vary from complex analytical methods to iterative numerical ones that are based on optimization algorithms. The disadvantage of these methods is that they usually take into account the array factor, rather than the mutual influence of its elements and problems observed realtime.
This simplification leads to the error in the resulting radiation pattern. Therefore, to improve the accuracy of calculations and models, it is necessary to take into account the physical relationships between parameters of the phased array and the corresponding radiation patterns.
The action of the antenna array is not linear by its nature; this leads to high complexity for modeling and it is usually not taken into account.
Simulation based on artificial neural networks can eliminate the pointed difficulties by approximating the relationships between the desired radiation patterns and the power parameters of the elements of the array, the voltage of the elements and the distance between them in a real antenna array.
Application of neural networks can help transform an antenna array into an intelligent array. This paper considers several neural networks for the synthesis of intelligent antenna arrays and the intelligent synthesis of active phased antenna arrays.References
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