A.A. Pirogov1, E.V. Tyretskaya2, M.V. Khoroshailova3, N.B. Uskova4

1-3 FSBEI of HE “Voronezh State Technical University” (Voronezh, Russia)

1 Pirogov.alx@gmail.com; 2 kipr@vorstu.ru; 3 pmv2205@mail.ru, 4nat-uskova@mail.ru

Problem statement. Inaccuracy in determining the optimal transmission power can lead to excessive battery power consumption, shorter UAV flight time, or, conversely, loss of communication due to insufficient signal power. In this regard, the development of adaptive algorithms for estimating transmission power, taking into account dynamic changes in signal propagation conditions, is an urgent task. The Kalman filter allows you to optimize the algorithm for specific tasks, take into account the features of the hardware platform, and implement advanced data processing methods such as adaptive parameter tuning and anomaly detection. This will improve the accuracy of navigation, improve control and increase the reliability of the UAV as a whole.

Goal. Development of an advanced Kalman filter, which allows you to automatically adjust the transmission power to reduce unnecessary energy consumption.

Results. The simulation results show that the developed Kalman filter will make it possible to more accurately assess the condition of the bass and adapt the transmission power in accordance with current needs. This will lead to a reduction in power consumption, an increase in the operating time of the UAS and an increase in the efficiency of its use. The model also assumes the possibility of integration with existing UAS control systems.

Practical significance. The results obtained can be used to pre-determine the output power levels, which simplifies the digital linearization process, making it more efficient and reliable.

The work was carried out with the financial support of the Ministry of Science and Higher Education of the Russian Federation within the framework of the state assignment "youth laboratory" № FZGM-2024-0003.

Pirogov A.A., Tyretskaya E.V., Khoroshailova M.V., Uskova N.B. Development of a Kalman filter for estimating the power of a receiving device. Radiotekhnika. 2025. V. 89. № 7. P. 52−56. DOI: https://doi.org/10.18127/j00338486-202507-10 (In Russian)

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