a consistent track-to-track fusion method based on copula theory

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ID: 230520
2016
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Abstract
This paper addresses the problem of distributed fusion when the conditional independence assumptions on sensor measurements or local estimates are not met. A new data fusion algorithm called Copula fusion is presented. The proposed method is grounded on Copula statistical modeling and Bayesian analysis. The primary advantage of the Copula-based methodology is that it could reveal the unknown correlation that allows one to build joint probability distributions with potentially arbitrary underlying marginals and a desired intermodal dependence. The proposed fusion algorithm requires no a priori knowledge of communications patterns or network connectivity. The simulation results show that the Copula fusion brings a consistent estimate for a wide range of process noises.
Reference Key
lu2016mathematicala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Kelin Lu, K. C. Chang, Rui Zhou
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Journal journal of power sources
Year 2016
DOI
10.1155/2016/3751959
URL
http://dx.doi.org/10.1155/2016/3751959
Keywords
civil engineering (general)mathematics engineering (general)

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