Time Optimization Propagation Model of Meteorological Message Propagation and Information in Satellite Communication

Haijun Yuan, Haoxin Zhai
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Abstract

The sharing of meteorological message transmission of information in satellite communication was researched. It was found that the meteorological message information collected by satellite communication equipment was 100 characters, while the transmission capacity was 158 characters. The content of the information sent by each meteorological observation station was at most one and a half of meteorological message information. Each observation station received all the information sent by other stations and the relationship expression between the number of stations. Thus, the minimum propagation time was obtained, and the corresponding information transmission aggregation model was established. According to the transmission of the specified station, the rules were found, and the information of other stations received by each station in each round was obtained. The transmission scheme of the meteorological message of the master station was as follows. The first round adopted closedloop sequential transmission, that is $2\rightarrow 1,3 \rightarrow 2,\ldots, 1\rightarrow$ n, while from the second round, each round adopted the mode of transmission from the i+2 station to the i station ($i \leq n-2$). The mode 1$\rightarrow$n-1,2$\rightarrow$n was adopted by the first and second stations. Based on the result, a transmission model is established to find out the rule of station information sharing at a certain time. Finally, the number of stations N=9 was used to verify the feasibility of the propagation model.
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卫星通信中气象信息传播的时间优化传播模型
研究了卫星通信中气象信息传输的共享问题。研究发现,卫星通信设备采集的气象电文信息为100个字符,而传输容量为158个字符。各气象观测站发送的信息内容最多为1.5条气象电文信息。每个观测站接收到其他观测站发送的全部信息以及观测站数之间的关系表达式。从而求得最小传播时间,并建立相应的信息传播聚合模型。根据指定台站的传输情况,找到规则,得到每轮各台站接收到的其他台站信息。主站气象电文的传输方案如下:第一轮采用闭环顺序传输,即$2\rightarrow 1,3 \rightarrow 2,\ldots, 1\rightarrow$ n,而从第二轮开始,每一轮采用从i+2站到i站($i \leq n-2$)的传输方式。第一、二站采用1 $\rightarrow$ n-1,2 $\rightarrow$ n模式。在此基础上,建立了一个传输模型,找出某一时刻车站信息共享的规律。最后用台数N=9验证传播模型的可行性。
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