NSSC OpenIR  > 空间环境部
Alternative TitleGap filling method for space environment data based on singular spectrum analysis
刘帅; 李智; 龚建村; 林瑞淋; 马志昊; Li, Zhi (lizhizys@263.net)
Source Publication北京航空航天大学学报
Keyword奇异谱分析(Ssa) 离散粒子群优化算法 数据插补 空间环境 时间序列
Other AbstractThe space environment data is known to be nonlinear and non-stationary and often contains missing values, which brings great challenge to the model-building procedures, predictions and posterior analysis. To fill the data gaps, a new gap filling method based on the iterative singular spectrum analysis (SSA) algorithm was put forward. The new method considered the distribution of missing values by extracting a distribution array first and used the array to generate the test data set. The discrete particle swarm optimization algorithm was adapted to obtain the two key parameters of SSA, i. e. the embedded window size and the number of principal components. Taking the solar wind parameters and geomagnetic indices of different solar activity years as examples, the test results demonstrate that the filling method is effective. © 2016, Editorial Board of JBUAA. All right reserved.
Indexed ByEI ; CSCD
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Document Type期刊论文
Corresponding AuthorLi, Zhi (lizhizys@263.net)
Recommended Citation
GB/T 7714
刘帅,李智,龚建村,等. 基于奇异谱分析的空间环境数据插补方法[J]. 北京航空航天大学学报,2016,42(4):829-836.
APA 刘帅,李智,龚建村,林瑞淋,马志昊,&Li, Zhi .(2016).基于奇异谱分析的空间环境数据插补方法.北京航空航天大学学报,42(4),829-836.
MLA 刘帅,et al."基于奇异谱分析的空间环境数据插补方法".北京航空航天大学学报 42.4(2016):829-836.
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