Identification method of sins error parameters utilizing artificial neural network for hypersonic vehicle

HIGHLIGHTS

  • who: WEILIN GUO and colleagues from the Xi'an Research Institute of High Technology, Xi'an, China China Association for Science and Technology under Grant, JCJQ-QT-022, and in part by the Young Talent fund of University have published the article: Identification Method of SINS Error Parameters Utilizing Artificial Neural Network for Hypersonic Vehicle, in the Journal: (JOURNAL)
  • what: At present, the research of neural_network methods in the field of integrated navigation mainly focus on the forecasting and compensation of navigation state parameters, especially on the study of navigation parameter estimation in signal interruption . . .

     

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