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基于小波变换的卫星阻力系数分析
引用本文:刘卫,王荣兰,刘四清,师立勤,龚建村.基于小波变换的卫星阻力系数分析[J].宇航学报,2015,36(2):142-150.
作者姓名:刘卫  王荣兰  刘四清  师立勤  龚建村
作者单位:中国科学院空间科学与应用研究中心,北京 100190
基金项目:国家重点基础研究计划(2011CB811406)
摘    要:以不同弧长解算天宫一号空间实验室连续55天(d) GPS轨道数据得到卫星阻力系数Cd 序列,并对同期的太阳辐射通量 f 10.7 和地磁活动指数 ap,Ap序列高、低频多层小波分解。空间环境参量和Cd 序列各层信号滑动相关性的统计分析结果表明小波分解的阻力系数序列与对应的 f 10.7 ,Ap 序列整体具有很好的滞后相关性,验证了通过 f 10.7 ,Ap 预报 Cd 的可行性。对不同回归模型和回归分析样本序列长度n分析Cd预报值残差表明:采用f 10.7 一元回归模型,并取n20 d时, Cd 预报结果最优。另外,NRLMSIS-00模型在350km高度的中低纬度区域,地磁活动上升相响应过度,而下降相则响应不足;太阳辐射通量上升相响应适度,下降相响应过度。最后对应用前景进行总结,该方法对提高航天器轨道预报精度具有重要参考价值。

关 键 词:小波变换  阻力系数  滞后相关  天宫一号  空间环境  
收稿时间:2013-12-11

Analysis of Satellite Drag Coefficient Based on Wavelet Transformation
LIU Wei;WANG Rong-lan;LIU Si-qing;SHI Li-qin;GONG Jian-cun.Analysis of Satellite Drag Coefficient Based on Wavelet Transformation[J].Journal of Astronautics,2015,36(2):142-150.
Authors:LIU Wei;WANG Rong-lan;LIU Si-qing;SHI Li-qin;GONG Jian-cun
Institution:Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China
Abstract:Drag coefficient sequence Cd is obtained by solving Tiangong 1 continuous 55 days (d) GPS orbit data with different arc length. The same period solar radiation flux f 10.7 and geomagnetic index ap, Ap sequences are high and low frequency multi-wavelet decomposed. Statistical analysis results of the multilayer sliding correlation between space environmental parameters and decomposition of Cd show that lag correlation between the satellite drag coefficient sequence after wavelet decomposition and the corresponding level of  f 10.7 , Ap sequence is good. It is also verified that the Cd prediction is feasible. Prediction residuals of Cd with different regression models and different sample lengths are analyzed. The results show that the case setting sample length of 20 days and selecting  f 10.7 regression model is best. It is also show that NRLMSIS-00 model's response in the region of 350 km (Tiangong's altitude) and low-middle latitude (Tiangong's inclination) is excessive during the ascent phase of geomagnetic activity Ap and is inadequate during decline phase. Additionally, for the low-frequency decomposition sequence NRLMSIS-00 model's response is appropriate during the ascent rising phase of  f 10.7 . For the high frequency decomposition sequence, NRLMSIS-00 model's response is small-scale inadequate during the ascent phase of  f 10.7 and is excessive during the decline phase of  f 10.7 . Finally, the summary of potential use and outlook are listed; this method has an important reference value for improving the spacecraft orbit prediction accuracy.
Keywords:Wavelet transformation  Drag coefficient  Lag correlation  Tiangong 1  Space environment  
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