Intelligent PDAF: refinement of IPDAF for tracking in clutter
Authors:
- X.R. LiXLX.R. Li
- Ning LiNLNing Li
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 133-137
Abstract
An intelligent probabilistic data association filter (IPDAF) is presented as a refinement of the original IPDAF developed by D. Musicki et al. (1994). The refinement includes the incorporation of measurement feature information, a better estimator of clutter density, and an important correction of a mistake in the original PDAF and IPDAF. Simulation results demonstrate the substantial superiority of the proposed IPDAF to the original one.Keywords
This publication has 5 references indexed in Scilit:
- PSNF: a refined strongest neighbor filter for tracking in clutter2002
- Integrated probabilistic data associationIEEE Transactions on Automatic Control, 1994
- Interacting multiple model tracking with target amplitude featureIEEE Transactions on Aerospace and Electronic Systems, 1993
- Automated Tracking with Target Amplitude Information1990
- Tracking in a cluttered environment with probabilistic data associationAutomatica, 1975