Chernoff Fusion of Gaussian Mixtures Based on Sigma-Point Approximation

Date

2016-12-01

Author

Gunay, Melih
Orguner, Umut
DEMİREKLER, MÜBECCEL

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The use of a sigma-point approximation is proposed for the Chernoff fusion of Gaussian mixtures. The superiority of the proposed method to its best alternatives in the literature is shown on both a simple density fusion problem and a distributed multiple target tracking example, where the outputs of Gaussian mixture cardinalized probability hypothesis density filters are fused.

Subject Keywords

Target tracking, Correlation, Sensors, Kalman filters, Density functional theory, Probability density function, Estimation

URI

https://hdl.handle.net/11511/47602

Journal

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

DOI

https://doi.org/10.1109/taes.2016.150403

Collections

Department of Electrical and Electronics Engineering, Article

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Citation Formats

M. Gunay, U. Orguner, and M. DEMİREKLER, “Chernoff Fusion of Gaussian Mixtures Based on Sigma-Point Approximation,” IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, pp. 2731–2746, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/47602.