| 基于时空特征的中继卫星系统业务模型 |
| 王磊1,3, 匡麟玲2, 黄惠明3 |
| 1. 清华大学 航天航空学院, 北京 100084; 2. 清华大学 宇航技术研究中心, 北京 100084; 3. 北京空间信息中继传输技术研究中心, 北京 100094 |
| TDRSS traffic model based on time and spatial characteristics |
| WANG Lei1,3, KUANG Linling2, HUANG Huiming3 |
| 1. School of Aerospace Engineering, Tsinghua University, Beijing 100084, China; 2. Tsinghua Space Center, Tsinghua University, Beijing 100084, China; 3. Beijing Space Information Relay and Transmission Technology Center, Beijing 100094, China |
摘要:
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| 摘要对中继卫星系统业务特征的分析和建模是系统资源调度优化问题的关键。基于系统调度原理和实际运控特点，构建了一个能够统一表征用户中继业务的参数化模型，可从时间、空间2个维度描述中继业务特征。通过引入中继卫星天线指向角度作为空间维度变量，改进传统的业务时序约束关系，解决了现有业务模型对时间和空间特征描述不准确的问题。对中继卫星系统业务数据进行分析和调度数值仿真，检验了模型的有效性。仿真结果表明：采用新的业务模型后，中继业务调度完成率平均增加10.65%，单址天线无效资源占比平均减少12.85%，有效提升了中继卫星系统效益。 | |||
| 关键词 ：中继卫星系统,业务模型,时空特征,调度 | |||
| Abstract：Analysis and modeling of the traffic characteristics in tracking and data relay satellite systems (TDRSS) are the key to improving the system scheduling performance. A parametric model was developed to unify the system multi-type traffic representation based on a scheduling principle and actual TDRSS operating data. The system can describe the traffic time and spatial characteristics. The antenna pointing angle is used as the mission's space related variable to improve the time sequence constraint of consecutive missions and the time and spatial accuracies that are rarely considered in conventional traffic models. The model validity is verified through analysis of NASA TDRSS traffic data and numerical simulations. The results show that the average scheduling success rate is 10.65% better than the conventional model, while the average antenna resource consumption is reduced by 12.85%, which effectively improves the TDRSS efficiency. | |||
| Key words：tracking and data relay satellite system (TDRSS)traffic modeltime and spatial characteristicsscheduling | |||
| 收稿日期: 2016-03-30 出版日期: 2017-01-20 | |||
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| 通讯作者:匡麟玲,研究员,E-mail:kll@tsinghua.edu.cnE-mail: kll@tsinghua.edu.cn | |||
| 引用本文: |
| 王磊, 匡麟玲, 黄惠明. 基于时空特征的中继卫星系统业务模型[J]. 清华大学学报（自然科学版）, 2017, 57(1): 55-60,66. WANG Lei, KUANG Linling, HUANG Huiming. TDRSS traffic model based on time and spatial characteristics. Journal of Tsinghua University(Science and Technology), 2017, 57(1): 55-60,66. |
| 链接本文: |
| http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2017.21.011或 http://jst.tsinghuajournals.com/CN/Y2017/V57/I1/55 |
图表:
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| 图1 中继卫星系统调度原理图 |
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| 表1 用户1和用户2中继业务时长概率分布 |
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| 表2 TDRSS2014年主要用户信息 |
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| 表3 TDRSS主要用户中继业务特征 |
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| 图2 中继卫星系统双星服务场景 |
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| 图3 调度业务完成率 |
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| 图4 单址天线无效资源占比 |
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