Chernoff fusion of Gaussian mixtures for distributed maneuvering target tracking
- Resource Type
- Conference
- Authors
- Gunay, Melih; Orguner, Umut; Demirekler, Mubeccel
- Source
- 2015 18th International Conference on Information Fusion (Fusion) Information Fusion (Fusion), 2015 18th International Conference on. :870-877 Jul, 2015
- Subject
- Aerospace
Computing and Processing
Photonics and Electrooptics
Signal Processing and Analysis
Target tracking
Correlation
Approximation methods
Measurement uncertainty
Noise
Density functional theory
Uncertainty
Distributed estimation
maneuvering target tracking
IMM filter
Chernoff fusion
covariance intersection
sigma-points
- Language
A fusion methodology for tracks represented by Gaussian mixtures is proposed for distributed maneuvering target tracking with unknown correlation information between the local agents. For this purpose, Chernoff fusion is applied to the Gaussian mixtures provided by the local interacting multiple-model (IMM) filters. Chernoff fusion of Gaussian mixtures is achieved using a recently proposed method in the literature involving a sigma-point approximation. The results show that the fusion of Gaussian mixtures in a distributed maneuvering target tracking scenario brings a moderate improvement over fusing only moment matched Gaussian densities.