A general cardinalized probability hypothesis density filter

A general cardinalized probability hypothesis density filter

Abstract Based on random finite set, the probability hypothesis density (PHD) filter and the cardinalized PHD (CPHD) filter have been proposed for multitarget tracking as they are computational tractable. But the classical PHD and CPHD filter is not applicable when a target generates multiple detect...

Full description

Bibliographic Details
Main Authors: Xinglin Shen, Zhiyong Song, Hongqi Fan, Qiang Fu
Format: Article
Language:English
Published: SpringerOpen 2022-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Clutter process
CPHD filter
Measurement process
Multitarget tracking (MTT)
Random finite set (RFS)
Online Access:https://doi.org/10.1186/s13634-022-00924-w

Internet

https://doi.org/10.1186/s13634-022-00924-w

Similar Items