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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
Collections
Department of Electrical and Electronics Engineering, Article
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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.