GNSS World of China

Volume 45 Issue 2
Apr.  2020
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XU Xiaowen, TAO Yuan. BDS multipath errors reducing method based on EMD-LSTM coupled prediction model[J]. GNSS World of China, 2020, 45(2): 98-104. doi: DOI:10.13442/j.gnss.1008-9268.2020.02.016
Citation: XU Xiaowen, TAO Yuan. BDS multipath errors reducing method based on EMD-LSTM coupled prediction model[J]. GNSS World of China, 2020, 45(2): 98-104. doi: DOI:10.13442/j.gnss.1008-9268.2020.02.016
shu

BDS multipath errors reducing method based on EMD-LSTM coupled prediction model

doi: DOI:10.13442/j.gnss.1008-9268.2020.02.016

  • School of Geomatics, Anhui University of Science and Technology,  Huainan 232001, China

  • Publish Date: 2020-04-15
    Abstract
  • The multipath errors in short baseline measurement of BeiDou Navigation Satellite System (BDS) were the main errors affecting positioning accuracy. Aiming at the nonlinearity of multipath errors and the non-stationarity of coordinate series, a coupled prediction model of EMD-LSTM was proposed by combining empirical mode decomposition (EMD) with long short-term memory (LSTM) to predict multipath errors and weaken the influence of multipath errors. The experimental results show that the EMD-LSTM coupled prediction model can effectively reduce the multipath errors, and the E, N,and U directions were respectively improved by 22％, 36％, and 40％.

     

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