A Consistent Track-to-Track Fusion Method Based on Copula Theory. (19th December 2016)

• Record Type: Journal Article
• Authors: Lu, Kelin; Chang, K. C.; Zhou, Rui
• Other Names: Mahomed Fazal M. Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2016(2016)
• Publication Date: 2016-12-19
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2016/3751959
• Languages: English
• ISSNs: 1024-123X

Abstract

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.