Maximum usable frequency adaptive prediction

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.