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

doi:10.16182/j.issn1004731x.joss.201705002

Abstract

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

CLC Number:

TN927.23

Guo Yecai, Cai Lijian, Zhao Weijuan, Zhang Xiuzai. Research and Simulation of Satellite Channel Three-State Markov Model under Fog-and-Haze Weather[J]. Journal of System Simulation, 2017, 29(5): 941-949.

References

[1] Lutz E.Modeling of the Land Mobile Satellite Communications Channel[C]// IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications, Torino, Italy. USA: IEEE, 2013: 199-202.
[2] Cheffena M, Fontan F P.Channel Simulator for Land Mobile Satellite Channel Along Roadside Trees[J]. IEEE Transactions on Antennas and Propagation (S0018-926X), 2011, 59(5): 1699-1706.
[3] Zhang X Z, Guo Y C, Yang C J.The Meteorological Satellite Composite Channel Model under Cloudy Weather Conditions[J]. Journal of Computational Information Systems (S1552-9105), 2013, 9(13): 5337-5344.
[4] Kourogiorgas C, Panagopoulos A D.A Rain Attenuation Stochastic Dynamic Model for LEO Satellite Systems Above 10GHz[J]. IEEE Transactions on Vehicular Technology (S0018-9545), 2014, 64(2): 829-834.
[5] 聂敏, 尚鹏钢, 杨光, 等. 中尺度沙尘暴对量子卫星通信信道的影响及性能仿真[J]. 物理学报, 2014, 63(24): 240303.
(Nie Min, Shang Peng-Gang, Yang Guang, et al.In?uences of mesoscale sandstorm on the quantum satellite com-munication channel and performance simulation[J]. Acta Phys. Sin. 2014, 63(24): 240303.)
[6] Awan M S, Leitgeb E, Marzuki, et al. Evaluation of Fog Attenuation Results for Optical Wireless Links in Free Space[C]// IEEE International Workshop on Satellite and Space Communications, Toulouse, France. USA: IEEE, 2008: 112-116.
[7] 王秦, 陈曦, 何公理, 等. 北京市城区冬季雾霾天气PM2.5中元素特征研究[J]. 光谱学与光谱分析, 2013, 33(6): 1441-1445.
(Wang Qin, Chen Xi, He Gong-li, et al.Study on characteristics of elements in PM2.5 during haze-fog weather in winter in urban Bejing[J]. Spectroscopy and Spectral Analysis, 2013, 33(6): 1441-1445.)
[8] 杨志彪, 陈冬冬, 徐向明. 霾观测判识标准定量化对雾霾观测记录的影响[J]. 气象科技, 2014, 42(2): 198-203.
(Yang Zhibiao, Chen Dongdong, Xu Xiang ming. Influence of Identifying Index quantification on fog and haze observation records[J]. Meteorological Science and Technology, 2014, 42(2): 198-203.)
[9] Louis J Ippolito Jr. 卫星通信系统工程 [M]. 孙宝升译. 北京: 国防工业出版社, 2012: 109-111.
(Louis J Ippolito Jr. Satellite communication system engineering [M]. Sun Baosheng translated. Beijing, China: National Defence Industry Press, 2012: 109-111.)
[10] Yang M C, Meng F Y, Shi S, et al.Markov Chain based Two-state Satellite Mobile Channel Model[C]// IEEE 73rd Vehicular Technology Conference (S1550-2252), Yokohama, Japan. USA: IEEE, 2011: 1-5.
[11] Rafi G, Patzold M.The Impact of Shadowing on the Capacity of Mobile Fading Channels [C]// 4th International Symposium on Wireless Communication Systems, Trondheim. Piscataway USA: IEEE Press, 2007: 209-214.
[12] Hui M, Shen D Y, Cui Y N, et al.A New Five-state Markov Model for Land Mobile Satellite Channels [C]// 8th International Symposium on Antennas, Propagation and EM Theory, Kunming, China. Piscataway USA: IEEE Press, 2008: 1512-1515.
[13] 丁一汇, 柳艳菊. 近50年我国雾和霾的长期变化特征及其与大气湿度的关系[J]. 中国科学: 地球科学, 2014, 44(1): 37-48.
(Ding Yihui, Liu Yanju.Long term variation of fog and haze in China in recent 50 years and its relationship with atmospheric humidity[J]. Chinese Science: Earth Science, 2014, 44(1): 37-48.)
[14] 陈伟. 移动衰落信道 [M]. 北京: 电子工业出版社, 2009: 20-22.
(Chen Wei.Mobile Fading Channel [M]. Beijing, China: Pub-lishing House of Electronics Industry, 2009: 20-22.)
[15] 张人禾, 李强, 张若楠. 2013年1月中国东部持续性强雾霾天气产生的气象条件分析[J]. 中国科学: 地球科学, 2014, 44(1): 27-36.
(Zhang Renhe, Li Qiang, Zhang Ruonan.Analysis of meteorological conditions of persistent strong fog and haze in eastern China in January 2013[J]. Chinese Science: Earth Science, 2014, 44(1): 27-36.