基于多体制探测数据融合的MUF预报方法

MUF prediction method based on multi-sounding data system detection data fusion

摘要: 提出了一种基于多体制探测数据融合的最高可用频率（maximum usable frequency，MUF）预报方法.该方法基于数据融合的思想，将电离层垂测数据和斜向探测数据进行融合处理，对短波通信最大可用频率进行预报，试验结果表明，该方法能够有效提升对MUF预报的准确性，预报相对误差降低19.23%，绝对误差降低0.33 MHz；对比实验结果，春秋季和冬季的预报精度提升尤为明显，平均达到25%以上，夏季能达到10%以上.该方法易于工程实现，能够对短波通信选频、短波广播覆盖分析等提供准确的数据支撑.

Abstract: A maximum usable frequency(MUF) prediction method based on data fusion is proposed. The method integrates the ionospheric vertical and oblique sounding system data fusion to detect data from multi-sounding system, to predict the maximum usable frequency of shortwave communication, experimental results show that the method can effectively improve the accuracy of MUF prediction, relative prediction error is reduced by 19.23%, reduce the absolute error of 0.33 MHz. Compared with the experimental results, the prediction accuracy in spring and autumn and winter is especially obvious, with an average of over 25% and over 10% in summer. This method is easy for engineering implementation, and can provide accurate data support for shortwave communication frequency selection and short wave broadcast coverage analysis.