最高可用频率自适应预报算法研究

Maximum usable frequency adaptive prediction

基于实际观测数据的最高可用频率短期预报对于短波通信网络选择工作频率具有重要的意义,利用Kalman滤波技术设计了最高可用频率自适应预报算法,并用实际观测数据对其进行检验,结果表明:该算法能够自动跟踪实际测量数据的变化,较准确地预报未来时刻的最高可用频率。

Maximum usable frequency short term prediction based on measured data is very important for HF communication network to choose working frequency. A maximum usable frequency adaptive prediction method is derived from Kalman filter in this paper. Then measured data are used to test the method and results are gained. These results show that the method can track measured data variation adaptively and predict maximum usable frequency of later time accurately.