Paper

Information Decorrelation for an Interacting Multiple Model Filter

Publication Date:
September 2018

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Abstract

In a sensor network compensation of the correlated information caused by previous communication is of utmost interest for distributed estimation. In this paper, we investigate different information decorrelation approaches that can be applied when using an interacting multiple model filter in a local sensor node. The related decorrelation and the corresponding fusion operations are discussed. The different approaches are compared on a simple distributed single maneuvering target tracking example.

Description

2018 21st International Conference on Information Fusion (FUSION), July 2018, doi: 10.23919/ICIF.2018.8455218