Abstract
A model and architecture for an active phased array antenna with a neural network control unit has been developed, which provides correction of the amplitude-phase distribution depending on the quality of work of individual array modules. The possibility of adapting the system to failures of individual modules is shown.
Highlights
The requirements for the global telecommunication systems being developed in recent years in the field of bandwidth and fault tolerance are constantly increasing
The structure of the receiving digital antenna array with quadrature analog-to-digital signal conversion can be represented in the form shown in fig. 1
Existing active phased array antenna calibration algorithms imply the use of a special pilot signal, the characteristics of which can be estimated after it passes the AR channel
Summary
The requirements for the global telecommunication systems being developed in recent years in the field of bandwidth and fault tolerance are constantly increasing. To ensure low cost, a rotary device can be provided in the system that can roughly direct the AR web to the selected satellite Such a solution reduces the cost of mechanical operation of the rotator, and reduces the requirements for the width of the scanning sector of the antenna array. The problem in this case is the need to automatically track the angular position of the satellite in the coordinate system of the AR when changing the direction of the carrier in space. Active development of Software-defined radio (SDR) systems in recent years makes it possible to implement a similar system using SDR devices, digital pattern formation and control algorithms in which PLD modules can be directly implemented
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