基于短波测量数据的信道模型聚类方法

A channel model clustering method based on HF measured data

提出了一种使用减法聚类有效分类离散随机信道参数的方法.在青岛-北京链路的信道测量数据基础上,使用该方法将短波信道测量计算出的信道参数分别进行一维和多维聚合分类,得到在特定链路、时间上,某频率对应的典型信道参数和信道模型,为短波频谱管理中的频率打分提供精确量化依据.

A method of using subtractive clustering effective classification of dis- crete random channel parameters is put forward. Based on Qingdao-Beijing link channel measurement data, using this method, the channel parameters of measure- ment data were calculated respectively for one-dimensional and multi-dimensional 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.