Probabilistic Data Association with Amplitude Information versus the Strongest Neighbor Filter

@article{Ehrman2007ProbabilisticDA,
  title={Probabilistic Data Association with Amplitude Information versus the Strongest Neighbor Filter},
  author={L. Ehrman and W. Dale Blair},
  journal={2007 IEEE Aerospace Conference},
  year={2007},
  pages={1-6}
}
Prior work on the probabilistic data association filter (PDAF) with amplitude information acknowledges that the strongest measurement receives preference regardless of its location in the track gate. On the other hand, if the measurements have relatively equal amplitudes, then assignment decisions are based on kinematics. Aside from those differences, prior work indicates that the PDAF with amplitude information operates the same as the standard PDAF. However, the literature understates the… CONTINUE READING