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Distributed Satellite Cluster Network:a Survey
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作者 董飞鸿 王敬超 +1 位作者 杨杰 蔡春晓 《Journal of Donghua University(English Edition)》 EI CAS 2015年第2期332-336,共5页
The ability of the monolithic satellite,satellite orbit(especially GEO),and radio resource are very limited,so the development of distributed satellite cluster network(DSCN) receives more and more worldwide attention.... The ability of the monolithic satellite,satellite orbit(especially GEO),and radio resource are very limited,so the development of distributed satellite cluster network(DSCN) receives more and more worldwide attention.In this paper,DSCN is surveyed and the study status of DSCN architecture design is summarized.The formation flying of spacecrafts,reconfiguration,networking,and applied research on distributed satellite spacecraft are described in detail.The DSCN will provide a great technology innovation for space information network,satellite communications,satellite navigation,deep space exploration,and space remote sensing.In addition,this paper points out future trends of the DSCN development. 展开更多
关键词 distributed satellite cluster network(DSCN) ARCHITECTURE formation flying networkING space information network
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Optimization of satellite searching strategy of the non-stationary antenna
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作者 曹海青 王渝 姚志英 《Journal of Beijing Institute of Technology》 EI CAS 2015年第3期398-404,共7页
The tiny searching step length and the satellite distribution density are the major factors to influence the efficiency of the satellite finder,so a scientific and reasonable method to calculate the tiny searching ste... The tiny searching step length and the satellite distribution density are the major factors to influence the efficiency of the satellite finder,so a scientific and reasonable method to calculate the tiny searching step length is proposed to optimize the satellite searching strategy. The pattern clustering and BP neural network are applied to optimize the tiny searching step length. The calculated tiny searching step length is approximately equal to the theoretic value for each satellite. In application,the satellite searching results will be dynamically added to the training samples to re-train the network to improve the generalizability and the precision. Experiments validate that the optimization of the tiny searching step length can avoid the error of locating target satellite and improve the searching efficiency. 展开更多
关键词 tiny searching step length satellite finder patter clustering neural network
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