文章基本信息

标题：Satellite Channel Markov Model of Ka-band based on Principal Component
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作者：Guo, Yecai ; Yuan, Tao ; Zhang, Xiuzai 等
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2014
卷号：9
期号：7
页码：1701-1706
DOI：10.4304/jnw.9.7.1701-1706
语种：English
出版社：Academy Publisher
摘要：With the consideration of the existing Ka-band satellite channel model in data processing method deficiency, the Ka-band satellite channel propagation characteristic is analyzed and the influence of meteorological factors on the satellite channel is discussed. The channel of meteorological factor principal component is obtained by using the principal component analysis and fuzzy clustering analysis method is introduced into channel classification. The Ka-band satellite channel multi-sates Markov model is established and simulated finally. By comparing the level crossing rate and average fade duration with the former. The results shown that this proposed channel model is more accurate and effective and it is significant to the Ka-band satellite communication research.
关键词：Ka-Band;Principal Component Analysis;Fuzzy Clustering;Rain Attention;Markov Model