lei yu,  zhao danning,  li bian,  gao yuping. prediction of  satellite clock bias based on wavelet transform andleast squares  support vector machines[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 815-819.
Citation: lei yu,  zhao danning,  li bian,  gao yuping. prediction of  satellite clock bias based on wavelet transform andleast squares  support vector machines[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 815-819.

prediction of  satellite clock bias based on wavelet transform andleast squares  support vector machines

  • this paper  proposes  a novel method for  prediction of  satellite  clock  bias scb based onwavelet transform and  least  squares  support  vector machineslssvm.the method first  decomposesscb time  series  into  different  fre quency components  through the wavelet transform al gorithm.thenaccording to  the different  characteristics of  the decomposed componentsthe proper lssvm are  constructed  to predict  the  components.finall ythe  final  prediction value of  scb is  yielded  by the  lineari ty super position  for  the  res pective predicted  result.the  experiment  shows  that  the proposed method can  improve  the prediction  accurac y of  scb when the quadratic pol ynomial qp modelgm11model and lssvm model
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