Research on Space-Based Measurement and Control Scheme of Launch Vehicle Based on BeiDou Navigation Satellite System

Li, Chong; Yi, Xianqing; Zhao, Yue; Hou, Zhenwei

doi:10.1007/978-981-13-0005-9_4

Cited by 1 publication

(4 citation statements)

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“…We established simulation scenarios by using STK (Satellite Tool Kit) tools. We simulated the dual-layer satellite network that was composed of 24 MEOs in standard Walker constellation 24/3/1, 3 IGSOs with phase difference of 120°, and 3 ground stations in China [5,27]. The simulated constellation structure of the satellite network is shown in Figure 7.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…The network traffic detection, representation, and collection framework are proposed based on the satellites, their orbits, and functions in BDS-3. GEO and IGSO satellites function not only as navigation systems but also as relays which forward space-based measurement and control information [6,27]. Because the inclined orbit angle of IGSO is more than 0°, it is visible at high-latitude area.…”

Section: The Dynamic Traffic Detectionmentioning

confidence: 99%

“…Because the inclined orbit angle of IGSO is more than 0°, it is visible at high-latitude area. IGSO is more favorable than GEO for the MEO information relaying [27] in the designed distributed traffic detection architecture.…”

Section: The Dynamic Traffic Detectionmentioning

confidence: 99%

“…Previously reported (data type: Beidou orbits) data were used to support this study and are available at (DOI: 10.1007/s10291-018-0784-0, 10.1007/978-981-13-0005-9_4). These prior studies (and datasets) are cited at relevant places within the text as references [5,27].…”

Section: Data Availabilitymentioning

confidence: 99%

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Dynamic Traffic Detection and Modeling for Beidou Satellite Networks

Yin

et al. 2020

Journal of Sensors

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Beidou navigation system (BDS) has been developed as an integrated system. The third BDS, BSD-3, will be capable of providing not only global positioning and navigation but also data communication. When the volume of data transmitted through BDS-3 continues to increase, BDS-3 will encounter network traffic congestion, unbalanced resource usage, or security attacks as terrestrial networks. The network traffic monitoring is essential for automatic management and safety assurance of BDS-3. A dynamic traffic detection method including traffic prediction by Long Short-Term Memory (LSTM) and a dynamically adjusting polling strategy is proposed to unevenly sample the traffic of each link. A distributed traffic detection architecture is designed for collection of the detected traffic and its related temporal and spatial information with low delay. A time-varying graph (TVG) model is introduced to represent the dynamic topology, the time-varying link, and its traffic. The BDS-3 network is simulated by STK. The WIDE dataset is used to simulate the traffic between the satellite and ground station. Simulation results show that the dynamic traffic detection method can follow the variation of the traffic of each link with uneven sampling. The detected traffic can be transmitted to the ground station in near real time through the distributed traffic detection architecture. The traffic and its related information are stored by using Neo4j in terms of the TVG model. The nodes, edges, and traffic of BDS-3 can be quickly queried through Neo4j. The presented dynamic traffic detection and representation schemes will support BDS-3 to establish automatic management and security system and develop business.

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Section: Simulation and Resultsmentioning

confidence: 99%

Section: The Dynamic Traffic Detectionmentioning

confidence: 99%

Section: The Dynamic Traffic Detectionmentioning

confidence: 99%

Section: Data Availabilitymentioning

confidence: 99%

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