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航天器遥测数据的自相似研究 被引量:2

Research on Self-similarity of Spacecraft Telemetry Data
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摘要 在研究自相似理论的基础上,通过SELFIS工具中的Whittle最大似然估计法对航天器遥测数据进行自相似分析,以一个遥测点数据为例估算其Hurst参数,并对分析结果做出详细解释.实验结果表明大部分遥测点数据都具有自相似性,为遥测数据自相似仿真模型的建立奠定了基础. On the basis of the study of the theory of self-similarity,the self-similarity of spacecraft telemetry data is studied by the method of Whittle maximum likelihood estimation in the SELFIS tool.The paper takes the data of a Telemetry point as a example.Its Hurst parameter is estimated with a detailed explanation.The experiment results show that the majority of telemetry data has self-similarity,which lays a foundation for the establishment of self-similarity simulation model of telemetry data.
出处 《西安工业大学学报》 CAS 2013年第3期193-197,共5页 Journal of Xi’an Technological University
基金 陕西省教育厅自然科学类资助项目(09JK503)
关键词 自相似 HURST参数 Whittle估计法 遥测数据 self-similarity hurst parameter whittle estimator telemetry data
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  • 1LELAND W E, TAQQU M S, WILLING W, et al.On the Self-Similar Nature of Ethernet Traffic[J].IEEE/ACM Trans On Networking, 1994,2(1) :1.
  • 2高晓娟,容晓峰,钟联炯.基于自相似通信量的p-坚持CSMA/CD协议仿真[J].计算机工程与应用,2006,42(25):141-143. 被引量:3
  • 3Jung-Shian Li, Adam Wolisz, Radu Popescu-ZeletiaModelling and Simulation of Fractional ARIMAProcesses Based on Importance sampling [ C]//Proceedings of the 1998 ACM Symposium onApplied Computing,New York: ACM, 1998:453.
  • 4Thomas Karagiannis, Michalis Faloutsos, SELFIS: ATool For Self一Similarity and Long Range DependenceAnalysis [ C] //1 st Workshop on Fractals and Self-Similarity in Data Mining:Issues and Approaches (inKDD) , Edmonton : ACM 2002 : 23.

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