Chernoff Fusion of Gaussian Mixtures for Distributed Maneuvering Target Tracking

Date

2015-07-09

Author

GUNAY, Melih
Orguner, Umut
Demirekler, Mübeccel

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Distributed estimation, Maneuvering target tracking, IMM filter, Chernoff fusion, Covariance intersection, Sigma-points

URI

https://hdl.handle.net/11511/54547

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Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

M. GUNAY, U. Orguner, and M. Demirekler, “Chernoff Fusion of Gaussian Mixtures for Distributed Maneuvering Target Tracking,” 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54547.