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

Clicks: 117
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
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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