A channel model clustering method based on HF measured data

A method of using subtractive clustering effective classification of discrete random channel parameters is put forward. Based on QingdaoBeijing link channel measurement data, using this method, the channel parameters of measurement data were calculated respectively for onedimensional and multidimensional aggregation classification. Typical parameters and channel model corresponding of a particular link were gained, providing accurate quantitative basis for HF frequency scoring in spectrum management.