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The Study Of Robustness And Adaptability To The Real-time Data Processing For Trajectory Based On UKF

Posted on:2016-05-03Degree:MasterType:Thesis
Country:ChinaCandidate:J N MaFull Text:PDF
GTID:2322330536467377Subject:Systems Science
Abstract/Summary:PDF Full Text Request
Ballistic real-time data processing subsystem,which is the foundation for monitor display subsystem,security control subsystem and post-data processing subsystem,is an important part of the missile control systems.Establishing an efficient real-time missile data processing and control subsystem involve many issues.The real-time data processing and control system solve accuracy trajectory with good robustness,and timeliness.In this paper,under the existing monitoring and control equipment and conditions,according to the different characteristics of the missile paragraph,we study to select motion modeling and real-time estimation method to get high-precision real-time space target state estimate.This paper studies the adaptive improvement UKF filter combination of different engineering data and adaptation effect background.First of all,Combining multiple Doppler velocimetry data,research UKF filtering algorithm based on effective measurement data classification.According to observations step prediction of UKF,the algorithm distinguish Doppler velocimetry equipment operating mode switch between response and beacon.The algorithm will choose adaptive observation model based on different operating modes.Effectively improve the utilization of integration data,improve filtering accuracy and robustness of filter ballistic.Next,this paper studies the trajectory of Doppler velocimetry data for ballistic level information fusion.According to Doppler velocimetry data,it proposed trajectory data mean filter with cluster analysis.Based on ballistic level data UKF filter,for the purpose of improving the robustness of the integration trajectory,UKF filter state model is designed to the mean weighted fusion with cluster analysis in this algorithm.Effectively improve filtering accuracy and robustness of trajectory,real-time integration of ballistic eliminate a step,scattered,pull side and other issues.In the end,this paper first proposed UKF filter will be applied to marine surveying equipment with the particularity of measurement and control data of the sea environment.It analysis the adaptive UKF filter method with maritime measurement data.Research on the subject of this paper is measured in real-time metadata processing trajectory.In this paper,combine different practical engineering background,we research the result of improving the applications of UKF filter.
Keywords/Search Tags:Space target tracking, Real-time estimation, Ballistic data fusion, UKF, Doppler velocimetry data, Maritime tracking ship data
PDF Full Text Request
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