临近空间浮空器的组网与导航定位方法
|
摘要
针对浮空器组网困难,且在应急导航中的应用,提出了基于浮空器组网与导航的方法。采用激光链路的波分复用技术能够在规则的物理拓扑上构建出任意网络拓扑,而网络拓扑的变换和扩展可以只通过变化光路中的波长数量和连接关系来实现,因此随机网络的组建就转化为用多少波长来建立需要的拓扑结构。在浮空器组网下分析了浮空器空间布局的方式,对浮空器组网导航关键技术进行了深入的分析。将浮空器物理网络架构为2D-Mesh网络,分别对节点规模为16、32、64的浮空器来构建Jellyfish虚拟拓扑开展仿真实验,并对浮空器的空间布局几何精度因子(GDOP)值进行了数值仿真。通过实验得出:在2D-Mesh网络下用较少的波长数就能够得到一个网络直径为2的虚拟拓扑,并且在浮空器星型布局下得到的GDOP值最小。星座构型最优,在应急条件下,能够基本满足导航定位服务。
This paper presented a networking and navigation method based on near space aerostat. Wavelength multiplexing technique was used to construct any virtual topology on regular physical topology. The transformation and expansion of the network topology can only be achieved by varying the number of wavelengths and the connection in the optical path. Based on the structure network of the aerostat, this paper analyzed the spatial layout of the aerostat, and the key technology of the aerostat navigation system. In this paper, the physical network of the aerostat was constructed as a 2D-Mesh network, and the Jellyfish virtual topology was simulated by 16, 32, and 64 aerostats nodes, and the spatial layout of the aerostats was simulated Geometric Dilution of Precision( GDOP) value. The experimental results show that a virtual topology with a network diameter of 2 can be obtained with a small number of wavelengths under the 2D-Mesh network, and the GDOP value obtained in the float tree layout is the smallest, and the navigation accuracy is the highest.
This paper presented a networking and navigation method based on near space aerostat. Wavelength multiplexing technique was used to construct any virtual topology on regular physical topology. The transformation and expansion of the network topology can only be achieved by varying the number of wavelengths and the connection in the optical path. Based on the structure network of the aerostat, this paper analyzed the spatial layout of the aerostat, and the key technology of the aerostat navigation system. In this paper, the physical network of the aerostat was constructed as a 2D-Mesh network, and the Jellyfish virtual topology was simulated by 16, 32, and 64 aerostats nodes, and the spatial layout of the aerostats was simulated Geometric Dilution of Precision( GDOP) value. The experimental results show that a virtual topology with a network diameter of 2 can be obtained with a small number of wavelengths under the 2D-Mesh network, and the GDOP value obtained in the float tree layout is the smallest, and the navigation accuracy is the highest.
引文
[1]黄伟,陈逖,罗世彬,等.临近空间飞行器研究现状分析[J].飞航导弹, 2007(10):28-31.
[2]孙悦,赵和鹏.临近空间飞行器应用分析与展望[J].无线电工程, 2008, 38(10):26-27.
[3] SINGLA A, HONG C Y, POPA L, et al. Jellyfish:networking data centers randomly[C]//Proceedings of the 2012 USENIX Conference on Networked Systems Design and Implementation. Berkeley:USENIX Association, 2012:17-17.
[4] ELMIRGHANI J M H, MOUFTAH H T. All-optical wavelength conversion:technologies and applications in DWDM networks[J].IEEE Communications Magazine, 2000, 38(3):86-92.
[5] WEISS T R. Google's Project Loon test flight in Brazil shows promise[N]. e Week, 2014-06-17(3).
[6] ENGEL M. Google's project loon hovers over the satellite industry[J]. Via Satellite, 2013, 28(8):13.
[7]杜晓辉,施浒立,张丽荣,等.一种转发式卫星授时新方法[J].天文研究与技术, 2012, 9(1):34-38.
[8] YARLAGADDA R, ALI I, AL-DHAHIR N, et al. GPS GDOP metric[J]. IEE Proceedings—Radar, Sonar and Navigation, 2000,147(5):259-264.
[2]孙悦,赵和鹏.临近空间飞行器应用分析与展望[J].无线电工程, 2008, 38(10):26-27.
[3] SINGLA A, HONG C Y, POPA L, et al. Jellyfish:networking data centers randomly[C]//Proceedings of the 2012 USENIX Conference on Networked Systems Design and Implementation. Berkeley:USENIX Association, 2012:17-17.
[4] ELMIRGHANI J M H, MOUFTAH H T. All-optical wavelength conversion:technologies and applications in DWDM networks[J].IEEE Communications Magazine, 2000, 38(3):86-92.
[5] WEISS T R. Google's Project Loon test flight in Brazil shows promise[N]. e Week, 2014-06-17(3).
[6] ENGEL M. Google's project loon hovers over the satellite industry[J]. Via Satellite, 2013, 28(8):13.
[7]杜晓辉,施浒立,张丽荣,等.一种转发式卫星授时新方法[J].天文研究与技术, 2012, 9(1):34-38.
[8] YARLAGADDA R, ALI I, AL-DHAHIR N, et al. GPS GDOP metric[J]. IEE Proceedings—Radar, Sonar and Navigation, 2000,147(5):259-264.