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Volume 42 Issue 4
Apr.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(4): 829-836.
LIU Shuai, LI Zhi, GONG Jiancun, et al. Gap filling method for space environment data based on singular spectrum analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 829-836. doi: 10.13700/j.bh.1001-5965.2015.0554(in Chinese)
Citation: LIU Shuai, LI Zhi, GONG Jiancun, et al. Gap filling method for space environment data based on singular spectrum analysis[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(4): 829-836. doi: 10.13700/j.bh.1001-5965.2015.0554(in Chinese)
shu

Gap filling method for space environment data based on singular spectrum analysis

doi: 10.13700/j.bh.1001-5965.2015.0554
  • 1.

    Department of Space Command, Equipment Academy, Beijing 101416, China

  • 2. National Space Science Center, Chinese Academy of Sciences, Beijing 100190, China

Funds:  Program for New Century Excellent Talents in University of Ministry of Education of China;Youth Innovation Promotion Association, Chinese Academy of Sciences(Y52133A23S)
  • Received Date: 28 Aug 2015
  • Rev Recd Date: 30 Sep 2015
  • Publish Date: 20 Apr 2016
    Abstract
  • The 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.

     

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