Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter

Date

2021-02-01

Author

Acar, Duygu
Orguner, Umut

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In a sensor network compensation of the correlated information caused by previous communication is of utmost interest for distributed estimation. In this article, we investigate an information decorrelation approach that can be applied when using interacting multiple model filters in the sensor nodes for a family of jump Markov linear systems. Implementation issues that might arise while applying the decorrelation approach are addressed in detail. The investigated approach is compared with alternatives on simple distributed single maneuvering target tracking examples.

URI

https://hdl.handle.net/11511/89541

Journal

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS

DOI

https://doi.org/10.1109/taes.2020.3018275

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Department of Electrical and Electronics Engineering, Article

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Citation Formats

D. Acar and U. Orguner, “Decorrelation of Previously Communicated Information for an Interacting Multiple Model Filter,” IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, pp. 404–422, 2021, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/89541.