系统仿真学报 ›› 2017, Vol. 29 ›› Issue (5): 941-949.doi: 10.16182/j.issn1004731x.joss.201705002

• 仿真建模理论与方法 • 上一篇    下一篇

雾霾天气下卫星信道三状态Markov模型研究

郭业才1,2, 蔡力坚1, 赵卫娟1, 张秀再1   

  1. 1.南京信息工程大学电子与信息工程学院,南京 210044;
    2.江苏省大气环境与装备技术协同创新中心,南京 210044
  • 收稿日期:2015-05-22 修回日期:2016-04-25 出版日期:2017-05-08 发布日期:2020-06-03
  • 作者简介:郭业才(1962-),男,安徽安庆,博士,教授,博导,研究方向为水声信号处理、通信信号处理、自适应盲均衡技术。
  • 基金资助:
    国家自然科学基金(61673222, 61371131),江苏省高校自然科学研究重大项目(13KJA510001),江苏高校品牌专业建设项目(PPZY2015B134)

Research and Simulation of Satellite Channel Three-State Markov Model under Fog-and-Haze Weather

Guo Yecai1,2, Cai Lijian1, Zhao Weijuan1, Zhang Xiuzai1   

  1. 1. College of Electronic and Information Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China;
    2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology (CICAEET), Nanjing 210044, China
  • Received:2015-05-22 Revised:2016-04-25 Online:2017-05-08 Published:2020-06-03

摘要: 为准确反映雾霾天气对卫星信道统计特性的影响,将雾霾天气划分为雾状态、雾霾混合状态和霾状态,分别用Rice模型、Corazza模型和Suzuki模型进行描述;根据雾霾天气状态间的转换关系,建立了雾霾天气下卫星信道三状态Markov模型;以定义的联合电平通过率、平均衰落持继时间及联合电平通过率的相对误差为性能指标进行了仿真验证。仿真结果表明,与雾霾天气下卫星信道单状态和两状态模型相比,卫星信道三状态Markov模型能更好地描述卫星信号的衰落特性,更加贴近实际。

关键词: 雾霾天气, 卫星信道, Markov模型, 统计特性参量

Abstract: To accurately reflect the influence on the statistical characteristics of satellite channel under the fog-and-haze weather, the fog-and-haze weather was divided into the fog state, mixed state, and haze state, respectively, and their statistical characteristics were described by Rice model, Corazza model, and Suzuki model. Based on analyzing the conversion relation between fog-and-haze weather states, the satellite channel three-state Markov model was proposed. The defined joint level pass rate, the average fading duration and its relative error were used as the performance index of the satellite channel model, and the simulation tests were carried out. The simulation results show that compared with the single state and two-state model of the satellite channel in the fog-and-haze weather, the proposed model can describe the fading characteristics of the satellite signals better, and is more close to the actual.

Key words: fog-and-haze weather, satellite channel, Markov model, statistical characteristics parameters

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