Back to Search Start Over

A survey of PHD filter and CPHD filter implementations

Authors :
Ronald Maher
Source :
SPIE Proceedings.
Publication Year :
2007
Publisher :
SPIE, 2007.

Abstract

The probability hypothesis density (PHD) filter has attracted increasing interest since the author first introduced it in 2000. Potentially practical computational implementations of this filter have been devised, based on sequential Monte Carlo or on Gaussian mixture techniques. Research groups in at least a dozen different nations are investigating the PHD filter and its generalization, the CPHD filter, for use in various applications. Some of this work suggests that these filters may, under certain circumstances, outperform conventional multitarget filters such as MHT and JPDA. This paper summarizes these research efforts and their findings.

Details

ISSN :
0277786X
Database :
OpenAIRE
Journal :
SPIE Proceedings
Accession number :
edsair.doi...........d74bc7f1a9a09af744f9f3fba1a7e8f3