Consistency Analysis for Data Fusion: Determining When the Unknown Correlation Can Be Ignored
Date
2013
Authors
Amirsadri, Ashkan
Bishop, Adrian
Kim, Jonghyuk
Trumpf, Jochen
Petersson, Lars
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
In this paper we examine the conditions in which data fusion can be performed by neglecting the unmodeled correlation between two information sources without compromising the consistency of the system. More specifically, we explore those situations in whi
Description
Keywords
Citation
Collections
Source
2013 International Conference on Control, Automation and Information Sciences, ICCAIS 2013
Type
Conference paper
Book Title
Entity type
Access Statement
License Rights
Restricted until
2037-12-31