新型遥测网系统RF链路管理技术  被引量:3

RF Link Management Technology of a Telemetry Network System

在线阅读下载全文

作  者:王星来[1,2] 蓝鲲 夏国江 韩明 

机构地区:[1]国防科学技术大学航天科学与工程学院,长沙410073 [2]北京宇航系统工程研究所,北京100076

出  处:《飞行器测控学报》2016年第6期429-435,共7页Journal of Spacecraft TT&C Technology

摘  要:传统的遥测体制已经不能满足日益增长的飞行试验需求,新型TmNS(Telemetry Network System,遥测网系统)需要RF(Radio Frequency,射频)网络管理来协调资源分配,以满足性能要求。首先介绍了TmNS的总体架构,其RF链路除传统下行遥测链路外,新增了一条双向数据链路,实现多个试验对象和多个地面站的组网。随后讨论了该网络系统RF链路管理的原理和流程。由于链路管理器根据网络容量来分配TxOp(Transmission Opportunity,传输机会),故重点研究和比较了2种动态容量分配算法——B-LM算法和E-LM算法,ELM算法较B-LM算法略复杂,但可以减小系统延时,二者可以在链路管理器中共存,依据网络情况进行配置或切换。最后简要分析了链路管理器的软件结构。RF网络管理是TmNS的一项关键技术,该研究将促进我国新一代遥测网的发展。Traditional telemetry system do not meet increasing flight test requirements, so Radio Frequency (RF) network management is required to coordinate allocation of resources to meet the performance of Telemetry Network System (TmNS) . The physical structure of TmNS is introduced. Besides the traditional telemetry downlink, a new bidirectional data link is developed so that the units under test and ground stations form a telemetry network. Then the principle and process of RF link management are discussed. Because the link manager should as-sign transmission opportunities based on network capacity, two kinds of dynamic capacity allocation algorithms-&- LM and E-LM are studied and compared. Compared with B-LM algorithm, E-LM algorithm is somewhat more complicated, but it reduces the delay of the system. B-LM and E-LM algorithms can coexist in the link manager, ei-ther statically configured or dynamically switched depending on network conditions. Software architecture is also an-alyzed. RF network management is a key technology of TmNS and the research will promote development of a new generation of telemetry network in our country.

关 键 词:遥测网系统(TmNS) 射频(RF)链路管理 链路管理器(LM) 动态容量分配 软件架构 

分 类 号:V566.1[航空宇航科学技术] TN915.07[电子电信—通信与信息系统]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象