李磊, 杨瑞科, 赵振维. 长春和新乡雨衰时间序列的马尔科夫链模拟[J]. 电波科学学报, 2012, 27(3): 476-481.
      引用本文: 李磊, 杨瑞科, 赵振维. 长春和新乡雨衰时间序列的马尔科夫链模拟[J]. 电波科学学报, 2012, 27(3): 476-481.
      LI Lei, YANG Rui-ke, ZHAO Zhen-wei. Rain attenuation time series simulation by Markov chain about Changchun and Xinxiang areas[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 476-481.
      Citation: LI Lei, YANG Rui-ke, ZHAO Zhen-wei. Rain attenuation time series simulation by Markov chain about Changchun and Xinxiang areas[J]. CHINESE JOURNAL OF RADIO SCIENCE, 2012, 27(3): 476-481.

      长春和新乡雨衰时间序列的马尔科夫链模拟

      Rain attenuation time series simulation by Markov chain about Changchun and Xinxiang areas

      • 摘要: 基于马尔科夫理论建立的N阶马尔科夫链模型,模拟了长春和新乡地区的降雨衰减时间序列,比较了长春和新乡地区单个模拟和实测雨衰时间序列的概率分布;分别统计了长春和新乡地区50组模拟雨衰时间序列的百分概率分布,并与国际电信联盟无线电通信研究组(ITU-R)提供的卫星轨道位置为92°E、频率为12.5 GHz在线极化情况下长春和新乡雨区不同降雨衰减值下的时间百分概率进行了比较,一致性很好,从而验证了N阶马尔可夫链模型在中国部分地区的可用性。模拟结果对我国在Ku及以上频段通信卫星的抗衰落技术的发展具有重要的应用价值。

         

        Abstract: Based on the N-State Markov chain model established by Markov theory, the rain attenuation time series about Changchun and Xinxiang areas are simulated and the complementary cumulative distributions obtained by the simulatived and measured data at these areas are compared.The probability distribution about 50 simulative rain attenuation time series are compiled in statistics.The results agree with the results predicted by ITU-R model at 12.5 GHz and 92°Eorbital position of the geostationary satellite.Hence,the usability of this model is validated at partial areas in China.This research establishes a basis for the development of the rain fade mitigation techniques in communication and radar systems at Ku and above Ku band.

         

      /

      返回文章
      返回