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Satellite Channel Markov Model of Ka-band based on Principal Component

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.