• DocumentCode
    3052415
  • Title

    Comparative analysis of sensors, algorithms, and models within a navigation system

  • Author

    Connolly, Laura A. ; Scheding, Steven

  • Author_Institution
    ARC Centre of Excellence for Autonomous Syst., Univ. of Sydney, Sydney, NSW
  • fYear
    2008
  • fDate
    20-22 Aug. 2008
  • Firstpage
    26
  • Lastpage
    32
  • Abstract
    This paper presents a comparative analysis of a number of different components within a navigation filter. A discussion of how different sensors, mathematical models, and algorithms impact the performance of a navigation system is presented. The different components were implemented using a generic navigation filter architecture, the All-Source Navigation Filter. This architecture has been designed with the flexibility to allow an engineer to substitute different elements of a navigation system, such that it can provide an accurate solution for a range of conditions. A brief overview of the filter architecture is presented including details of a number of different elements that can be integrated within the system. An implementation of the ASNF is presented which operates on two different platforms each with a range of different sensors. Results are generated from a number of different filter configurations. Finally, discussions aided by position plots are presented that compare the effect of different configurations on the performance of the navigation solution.
  • Keywords
    filtering theory; navigation; sensors; all-source navigation filter; comparative analysis; navigation system; sensors; Algorithm design and analysis; Design engineering; Filtering algorithms; Filters; Intelligent sensors; Maintenance engineering; Mathematical model; Navigation; Sensor systems; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-2143-5
  • Electronic_ISBN
    978-1-4244-2144-2
  • Type

    conf

  • DOI
    10.1109/MFI.2008.4648103
  • Filename
    4648103