Abstract
We present a method for fusion of radar and secondary sensor data, e.g. AIS (Automatic Identification System), ADS-B (Automatic Dependent Surveillance Broadcast) or IFF (Identification, Friend or Foe) data. The method is based on fusion of kinematic models of target trajectories from the two sensors into kinematic models of the associations. The method can handle several hundred simultaneous targets (shown for 529 x 529 targets + 1600 clutter plots). It does not require several iterations through the data set in order to find associations, and it includes track history from the two sensors. The mathematical framework of the method is based on Kalman filters, maximum likelihood and probability theory as well as kinematics.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.