Dissertation > Excellent graduate degree dissertation topics show

Error Registration for Temporal and Spatial Alignment on HFSWR

Author: RenXueFei
Tutor: QuanTaiFan
School: Harbin Institute of Technology
Course: Information and Communication Engineering
Keywords: HF ground wave Extended Kalman Filter Particle Filter The method of least squares Lagrangian method
CLC: TP202
Type: Master's thesis
Year: 2011
Downloads: 28
Quote: 0
Read: Download Dissertation

Abstract


Space-time alignment problem has become an important research topic in the field of data fusion , to explore the multi-sensor data fusion of multi-source spatial and temporal alignment , and to improve the overall performance of the system in the multi- sensor data fusion for multi-sensor source information fusion research is of great significance . The background of this study is the over-the-horizon detection information . Ground wave radar to fully take advantage of high frequency electromagnetic waves with vertical polarization can coastal plane diffraction from the characteristics of the curvature of the Earth , not the line-of-sight , over-the-horizon detection of sea air . It is also the surface propagation of electromagnetic waves , such multi- sensor networking space the coordinate alignment problems complicate . This paper fully consider the propagation of electromagnetic waves along the Earth's surface characteristics , the spatial geometry of the basic relationship , space alignment algorithm in the context of the over-the-horizon target detection , and analysis of the characteristics of the coordinate conversion error . The error in the multi-sensor information fusion system can be simply divided into systematic error and random error . The system error in this article consider a system work time period is fixed. Random error is generally believed that the normal distribution with mean zero Gaussian distribution . In reference to a number of documents on the basis of modeling of both random and systematic errors . Kalman filter as the basic theory , the system of the target 's location , speed and system error as a state vector for the nonlinear system , the application of the extended Kalman filter , iterated extended Kalman filter and particle filter estimates of the target state , while to obtain a real-time estimates of the system errors . Time alignment of many sources of error , this article focused on networking sensors sampling cycle out of sync due time does not match and alignment errors . In this paper, simulation analysis of the least squares method and Lagrange interpolation , both effective Lagrangian algorithm more widely .

Related Dissertations

  1. Satellite Attitude Determination Based on Gyro and Star Sensor,V448.2
  2. Research on Cooperative Orbit Determination in Satellite Network Based on Multi-Agent System Theory,V474
  3. The Maneuvering Target Tracking Research Based on VRPF,TN957.52
  4. The Research of 3D Human Motion Capture Based on Reference Points,TP391.41
  5. Research on the Theory of Visual Object Tracking Based on Particle Filter for Autonomous Robot,TP242
  6. Space Infrared Target Simulation and Application of Target Trace,TP391.41
  7. Detection and Tracking of Moving Object in Complex Background,TP391.41
  8. Moving Objects Detection and Tracking Using Fisheye Camera,TP391.41
  9. The Research on the Target Localization and Tracking Based on WSN,TN929.5
  10. The Study of Moving Object Detection and Tracking Algorithm Based on Image Information,TP391.41
  11. Robot Localization in Fusion with Vision and Inertial Navigation,TP242
  12. The Research on Localization and Target Tracking in Wireless Sensor Network,TN929.5
  13. AUV Integrated Navigation Algorithm Study and System Implementation,U666.1
  14. Architectural Optimizations for Particle Filters,TN713
  15. Research on Key Techniques of Indoor Wireless Sensor Network Tracking,TN929.5
  16. Wheeled humanoid robot navigation and path planning,TP242
  17. Development of the Method for RPV Fast Neutron Fluence Calculation,TL32
  18. For small unmanned helicopter SINS / GPS Integrated Navigation System,TN967.2
  19. Petri net -based network intrusion detection system Research and Implementation,TP393.08
  20. GPU-accelerated particle filter PET image reconstruction algorithm,TP391.41
  21. Particle filter based multi-component FM fixed distance reconnaissance signal separation and parameter extraction,TN911.7

CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > General issues > Design, performance analysis and synthesis
© 2012 www.DissertationTopic.Net  Mobile