短波通信最高可用频率预测算法比较及选择

Comparison and Selection of Maximum Usable Frequency Prediction Algorithms for HF Communication

在短波频率管理系统中,实时频率探测技术能够准确获取当前时刻电离层的最高可用频率,但受太阳活动等其他因素的影响,电离层在短时间内可能发生变化,当前时刻实测到的最高可用频率值不足以满足未来一段时间的使用需要。为了解决这一问题,总结了以往项目中使用过的几种基于历史实测数据预测未来一段时间最高可用频率的算法,并对这几种算法的预测效果进行对比分析,最终得出效果最好的修正平均值法,可提升短波选频的时效性。

In the HF frequency management system, the real-time frequency detection technique is able to accurately acquire the maxilnum usable frequency （MUF） in the ionosphere at the moment. However, the ionosphere would change in a short time due to the factors such as the solar activity that the present MUF would not satisfy the use demand in the future time. In order to deal with it, several algorithms based on historical testing data to predict the MUF in the future time, which were used in the previous projects, were summarized. Their prediction results were compared and analyzed. The revised average value method was derived to enhance the timeliness of HF frequency selection.