Referenced Items are not available for this document.
Representative track fusion algorithms and track association metrics are quantitatively compared using a simple linear-Gaussian-Poisson model, under various degrees of nondeterministicity of the target dynamics, i.e., process noises, and of the initial condition uncertainty. Track fusion algorithms are compared using an analytical method, while track association metrics are evaluated by Monte Carlo simulations.
Published in:
Aerospace and Electronic Systems, IEEE Transactions on
(Volume:38
,
Issue:
2
)
Date of Publication: April 2002
- Page(s):
- 659 - 668
- ISSN :
- 0018-9251
- INSPEC Accession Number:
- 7303992
- Digital Object Identifier :
- 10.1109/TAES.2002.1008994
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 07 August 2002
- Issue Date :
- April 2002
- Sponsored by :
- Aerospace & Electronic Systems Society
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