ALGORITHM FOR SELECTING THE OPTIMAL OPERATING FREQUENCY AND TRANSMISSION PARAMETERS IN THE HF CHANNEL BASED ON PREDICTION USING GNSS MONITORING DATA
Abstract
Relevance. Modern requirements for specialized automated control systems and advances in communication technology are reviving interest in the HF band as a promising means of controlling ground, sea, and air-based robotic complexes (RCs). Existing adaptation algorithms for HF communication systems, by national and international standards are reactive and do not take into account the frequency dependence of ionospheric parameters, which limits their effectiveness for reliable RC control. Objective. To develop an algorithm for selecting the optimal operating frequency and transmission parameters (bandwidth, data rate, power, interleaving depth) based on prediction of frequency-dependent characteristics of a diffuse HF channel using passive GNSS monitoring data. Methods. A structural multipath model for correlation intervals, the ITU-R method for the mean signal-to-interference ratio, and analytical expressions for the Nakagami parameter and the permissible signal-to-interference ratio taking into account diversity reception are used. Results. An algorithm has been developed that includes estimating ionospheric parameters from GNSS data, calculating the frequency-dependent characteristics of the channel, and selecting the optimal operating mode that maximizes the energy margin and communication reliability. Numerical simulation for a typical path confirmed its efficiency. Conclusions. The proposed algorithm provides proactive selection of communication parameters taking into account the real state of the ionosphere, increasing reliability and data rate, which is critically important for RC control tasks. It is a step towards the creation of cognitive HF systems.
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