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On measured-error pretreatment of bionic polarization navigation

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【作者】 关桂霞韩愈章吴敏华李磊磊

【Author】 GUAN Gui-xia;HAN Yu-zhang;WU Min-hua;LI Lei-lei;Information Engineering College,Capital Normal University;Institute of Scientific Computing,University of Vienna;School of Automation,Beijing Institute of Technology;

【机构】 Information Engineering College,Capital Normal UniversityInstitute of Scientific Computing,University of ViennaSchool of Automation,Beijing Institute of Technology

【摘要】 A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation(3DSKE)is proposed.The aim of designing the 3DSKE algorithm is to reduce errors caused by random noise,but leave the systematical errors caused by signal source remained to be solved by a special method.The 3DSKE algorithm is especially suitable for time series of pure measured data without dynamic equation and on-line real-time execution.The simulated result shows that the 3DSKE algorithm can help the basic theoretic calculation to realize feasible,stable,fast,high accurate and auto-executing computing process for the navigation applications.

【Abstract】 A signal pre-treatment algorithm based on combination of 3-dimension system identification and Kalman filtering estimation(3DSKE)is proposed.The aim of designing the 3DSKE algorithm is to reduce errors caused by random noise,but leave the systematical errors caused by signal source remained to be solved by a special method.The 3DSKE algorithm is especially suitable for time series of pure measured data without dynamic equation and on-line real-time execution.The simulated result shows that the 3DSKE algorithm can help the basic theoretic calculation to realize feasible,stable,fast,high accurate and auto-executing computing process for the navigation applications.

【基金】 Supported by the National Natural Science Foundation of China(61174220);the Project of Beijing Municipal Education Commission(KM201210028002);Weapon Equipment Development Project(9140A09050313BQ01127)
  • 【文献出处】 Journal of Beijing Institute of Technology ,北京理工大学学报(英文版) , 编辑部邮箱 ,2014年02期
  • 【分类号】TN966
  • 【下载频次】41
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