Details

Autor(en) / Beteiligte

• Lu, Kelin
• Chang, K. C.
• Zhou, Rui
• Mahomed, Fazal M.

Titel

A Consistent Track-to-Track Fusion Method Based on Copula Theory

Ist Teil von

• Mathematical problems in engineering, 2016-01, Vol.2016, p.1-9

Ort / Verlag

New York: Hindawi Publishing Corporation

Erscheinungsjahr

2016

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• 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.