Approximate multisensor CPHD and PHD filters

  title={Approximate multisensor CPHD and PHD filters},
  author={Ronald P. S. Mahler},
  journal={2010 13th International Conference on Information Fusion},
The probability hypothesis density (PHD) filter and cardinalized probability hypothesis density (CPHD) filter are principled approximations of the general multitarget Bayes recursive filter. Both filters are single-sensor filters. Since their multisensor generalizations are computationally intractable, a further approximation - iterating their corrector equations, once for each sensor - has been used instead. This approach is theoretically unpleasing because it is not invariant under reordering… CONTINUE READING
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Statistical Multisource-Multitarget Information Fusion

  • R. Mahler
  • 2007
1 Excerpt

Multitarget filtering via first-order multitarget moments

  • R. Mahler
  • IEEE Trans. Aerospace and Electronics Sys.,
  • 2003
2 Excerpts

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