基于数据可视化的舰船短波通信优化研究

Research on ship HF communication optimization based on data visualization

短波通信凭借覆盖范围、通信成本等多方面优势在海上通信保障中发挥了重要作用,有着无法被替代的地位。短波通信其通信效果会受到通信时间段和天气等多种因素的影响。本文搜集了公开台站与本地之间的短波通信数据,就时间与天气特征对短波信号接收信号强度、噪声信号强度和信噪比的影响进行了研究,并用数据可视化的方法对短波通信接收信号功率在收发台站双方不同天气与不同通信时间段的特征进行了分析,得出了最佳通信时的天气情况和时间段。仿真结果表明,该方法提高了数据利用率,具有广泛的军事应用前景。

Due to many advantages of coverage area,communication cost and so on,high frequency(HF)communications play an important role in maritime communication support,but it is susceptible to various factors of weather and communication periods.The paper collects short wave communication data between public stations and local stations,and analyzes the influence of time and weather characteristics on SNR of short wave signals.Through the methods of data visualization,the characteristics of the receiving signal power of the short wave communication are analyzed in different weather and different communication periods in the transceiver station,and the weather conditions and time periods of the best communication are obtained.The simulation results show that the method improves the data utilization,and has a wide range ofthe military application foreground.