Title :
Data fusion technology forecast for C3MIS
Author :
Linas, J. ; Hall, D.L. ; Waltz, E.
Author_Institution :
Calspan Corp., Buffalo, NY, USA
Abstract :
Surveys three areas of rapid technology advancement that have the potential for significant improvements in data fusion/C3MIS systems over the next decade: the area of tracker-correlators to achieve consistent tracking performance over a wide range of target and background conditions. Symbolic computational methods and artificial intelligence techniques which provide perceptual interpretation, intelligent reasoning, and learning capabilities for fusion. Parallel and high-connected processor/memory architectures which enhance the speed, fault-tolerance and associative capabilities of data fusion system implementations
Keywords :
command and control systems; C3MIS; artificial intelligence; associative capabilities; background conditions; consistent tracking performance; data fusion; fault-tolerance; high-connected processor/memory architectures; intelligent reasoning; learning; parallel architectures; perceptual interpretation; rapid technology advancement; speed; symbolic computational methods; target; tracker-correlators;
Conference_Titel :
Command, Control, Communications and Management Information Systems, 1989., Third International Conference on
Conference_Location :
Bournemouth
Print_ISBN :
0-85296-380-7
