• DocumentCode
    567524
  • Title

    A voyage to Africa by Mr Swift

  • Author

    Wahlström, Niklas ; Gustafsson, Fredrik ; Åkesson, Susanne

  • Author_Institution
    Div. of Autom. Control, Linkoping Univ., Linkoping, Sweden
  • fYear
    2012
  • fDate
    9-12 July 2012
  • Firstpage
    808
  • Lastpage
    815
  • Abstract
    A male common swift Apus apus was equipped with a light logger on August 5, 2010, and again captured in his nest 298 days later. The data stored in the light logger enables analysis of the fascinating travel it made in this time period. The state of the art algorithm for geolocation based on light loggers consists in computing first sunrise and sunset from the logged data, which are then converted to midday (gives longitude) and day length (gives latitude). This approach has singularities at the spring and fall equinoxes, and gives a bias for fast day transitions in the east-west direction. We derive a flexible particle filter solution, where sunset and sunrise are processed in separately measurement updates, and where the motion model has two modes, one for migration and one for stationary long time visits, which are designed to fit the flying pattern of the swift. This approach circumvents the aforementioned problems with singularity and bias, and provides realistic confidence bounds on the geolocation as well as an estimate of the migration mode.
  • Keywords
    ecology; geophysical signal processing; particle filtering (numerical methods); confidence bounds; fast day transitions; flying pattern; geolocation; light logger; male common swift; measurement updates; migration mode; motion model; particle filter solution; senset model; sunrise model; Birds; Earth; Geology; Hidden Markov models; Noise; Position measurement; Sun; geolocation; light levels; nonlinear filtering; particle filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (FUSION), 2012 15th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4673-0417-7
  • Electronic_ISBN
    978-0-9824438-4-2
  • Type

    conf

  • Filename
    6289885