In recent years, significant advancements have been made in technologies that enable reliable communication through wideband HF radio channels with bandwidths ranging from 3 to 48 kHz and adjacent channel steps of 3 kHz, achieving data transfer rates of up to 120 kbit/s. To support this, both software-defined radio (SDR) and cognitive radio (CR) technologies are now being implemented. However, a key challenge in ionospheric HF radio communication is the variability of its operating frequency range and the impact of factors such as intermode time-frequency dispersion and narrowband man-made interference, which negatively affect both narrowband (3 kHz) and wideband systems operating in composite narrowband subchannels. This paper examines the main types of time-frequency dispersion in single-mode dual-ray narrowband radio channels, as well as in single-mode and multiple-mode channels with diffuse multipath propagation. These are considered in the context of selecting a modem that ensures at least 80% availability, as well as modeling wave packet propagation through the ionosphere. Methods and techniques to mitigate these negative effects are discussed. The aim of the research was to analyze the negative effects of intermode time-frequency dispersion on HF communication systems and to explore methods and strategies for overcoming these challenges. The paper provides a scientific rationale for addressing the issue of ensuring that communication systems have data on the availability of channels affected by intermode time-frequency dispersion and man-made interference. The signal-to-noise ratio (SNR) was identified as the critical parameter that fluctuates most rapidly over geophysical time. Additionally, the paper presents an effective solution for channel diagnostics using active sensors in the 2–30 MHz range, employing SDR technology. Methods for diagnosing multiple channels and selecting those with at least 80% availability for a given modem are discussed. The paper proposes an approach and methods for mitigating the negative effects of intermode time-frequency dispersion and man-made interference through sensor diagnostics technology. It demonstrates the feasibility of adaptively selecting optimal channels from those tested, providing data on the required communication signal power and data transfer rates to enhance the overall efficiency of the communication system. Experimental results showed that the sensor diagnostics approach can yield a radiated power gain of 4–12 dB on mid-latitude paths and 5–6 dB on polar paths for a given modem or constant data rate. Furthermore, selecting channels with at least 80% availability for the modem with the highest possible data rate can increase throughput by up to 2 times during the day and night, and by 4–8 times during transition periods.
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