Mathematical formulation of the problem and a model of quasi-optimal structural-parametric synthesis of adaptive algorithms of the synchronization system

Background. When testing systems with new synchronization algorithms, including synchronization as part of signal transmission systems, it is necessary at any moment to know the set of current measured parameters obtained by the synchronization receiver in order to determine its state. At any given time, the measurement, conversion, transmission, reception, processing, and presentation of synchronization system parameters in the required form must be performed. The rationale for the structural–parametric synthesis of synchronization system algorithms presented in the article is characterized by increasing requirements for the synchronization of radio signals transmitting information streams from unmanned systems. Aim. The paper considers the improvement of advanced synchronization algorithms, taking into account the reduction of the system’s acquisition time. Methods. Implementation of the proposed methods leads to an increase in the number of measurable parameters. This is primarily caused by the need to obtain objective data during transmission tests with strict synchronization requirements. These factors affect the characteristics of both the individual synchronization system and the overall system in which it operates. The paper substantiates advanced synchronization system tasks for unmanned systems, considering the need to extend control range under various unintentional interference conditions, such as radio signal interference and fading. Results. It is shown that the proposed model makes it possible to account for the requirements of limiting the error probability of the received synchronization sequence by means of spatio-temporal synchronization in the process of data transmission from unmanned systems. Conclusion. In advanced information transmission channels, it is necessary to develop new algorithms for adaptive spatio-temporal signal synchronization, which will ultimately allow adaptive control of the noise immunity parameters of the synchronization system.