Database support to data fusion automation

Author

Antony, Richard T.

Author_Institution

CECOM Intelligence & Electron. Warfare Directorate, Warrenton, VA, USA

Volume

85

Issue

1

fYear

1997

fDate

1/1/1997 12:00:00 AM

Firstpage

39

Lastpage

53

Abstract

Because the development of robust context-sensitive data fusion algorithms can require the evaluation of sensor-derived data with respect to large scale domain knowledge bases, database management systems can be expected to play an increasingly important role in machine-based reasoning. This paper offers a top-down view of key algorithm and database management system requirements associated with advanced data fusion applications. A database kernel design is outlined that seeks to achieve an effective compromise across a range of algorithm performance and database efficiency requirements

Keywords

computerised instrumentation; database management systems; sensor fusion; spatial data structures; algorithm; algorithm performance; data fusion automation; database efficiency; database kernel design; database management system; database management systems; database support; machine-based reasoning; robust context-sensitive data fusion algorithms; sensor-derived data; top-down view; Aerospace electronics; Airborne radar; Aircraft; Algorithm design and analysis; Automation; Database systems; Helicopters; Radar tracking; Rivers; Target tracking;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.554207

Filename

554207