Active and passive sensors for diagnostics quasi-zenith ionospheric HF communication channels

Dmitry V. Ivanov, Vladimir A. Ivanov, N. Ryabova, A. Elsukov
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Abstract

Background. There is a growing need for active sensory diagnostics of partial HF channels to provide frequency support to quasi-zenith HF radio links in varying signal propagation conditions. Enhancing the efficiency of active sensor algorithms, particularly by reducing emission time, is topical. To address this, a transition from sequential to parallel (simultaneous) diagnostics is proposed. Another significant challenge in HF communication is narrowband interference, and overcoming this issue involves the method of passive sensory diagnostics. This method assesses the availability of partial channels by analyzing the spectral density of interference power within them. Aim. The goal of this study is to develop algorithms and software tools that implement spectral monitoring and parallel sensing of partial channels for sensory diagnostics of ionospheric channels in quasi-zenith HF communication. Methods. The proposed approach involves integrating dynamic diagnostic methods into the development of intelligent sensors for ionospheric HF radio links, along with the creation of data analysis methods. Specialized computer software is employed to address the defined tasks. Experimental studies are conducted using the developed devices, which include intelligent active and passive radio sensors for HF radio links, to assess the load on HF communication channels. Results. A sensor for orthogonal quasi-zenith ionospheric radio channels has been created, incorporating algorithms for synthesizing a group pulse with orthogonal subcarriers while minimizing the peak factor. Additionally, algorithms for separating subcarriers and calculating the correlation function at the reception have been developed. The sensor employs the OFDM-BPSK signal modulation method, enabling operation in simultaneous-sequential sounding mode across the potential frequency range for communication. This led to an 8-fold reduction in the total signal emission time. Conclusion. The scientific results obtained have broad practical applications, particularly in enhancing the efficiency of wideband HF communication systems using spread spectrum signals.
用于诊断准天顶电离层高频通信信道的有源和无源传感器
背景。现在越来越需要对部分高频信道进行主动感测诊断,以便在不同的信号传播条件下为准天顶高频无线电链路提供频率支持。提高主动传感器算法的效率,特别是通过减少发射时间来提高效率,是目前的热门话题。为此,建议从顺序诊断过渡到并行(同步)诊断。高频通信面临的另一个重大挑战是窄带干扰,克服这一问题涉及被动感测诊断方法。这种方法通过分析部分信道内干扰功率的频谱密度来评估信道的可用性。目标本研究的目标是开发算法和软件工具,以实现部分信道的频谱监测和并行感应,从而对准天顶高频通信中的电离层信道进行感测诊断。方法。建议的方法包括将动态诊断方法纳入电离层高频无线电链路智能传感器的开发中,同时创建数据分析方法。采用专门的计算机软件来完成规定的任务。使用开发的设备(包括高频无线电链路的智能有源和无源无线电传感器)进行了实验研究,以评估高频通信信道的负荷。研究结果创建了一个用于正交准天顶电离层无线电信道的传感器,其中包含了用正交子载波合成群脉冲的算法,同时最大限度地降低了峰值因数。此外,还开发了用于分离子载波和计算接收相关函数的算法。该传感器采用 OFDM-BPSK 信号调制方法,可在整个潜在通信频率范围内以同步顺序探测模式运行。这使得总信号发射时间缩短了 8 倍。结论获得的科学成果具有广泛的实际应用价值,特别是在提高使用扩频信号的宽带高频通信系统的效率方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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