DocumentCode
2289599
Title
Artificial intelligence and waveform diversity
Author
Capraro, Gerard T. ; Capraro, C.T. ; Wicks, Michael C. ; Liuzzi, Raymond A.
Author_Institution
Capraro Technol., Utica, NY, USA
fYear
2003
fDate
30 Sept.-4 Oct. 2003
Firstpage
270
Lastpage
274
Abstract
Future US Air Force sensor systems must be able to adapt to changing environments in real time. A capabilities-based modeling approach offers a new method for building the next generation weapon system. To accommodate this model based approach, the Department of Defense (DoD) is promoting the use of waveform diversity for active radar systems. Building a weapon system including one or more systems with waveform diversity will require the use of artificial intelligence (AI) tools and techniques. We provide a model of how an aircraft sensor system can be retrofitted to accommodate radars employing waveform diversity without causing fratricide.
Keywords
airborne radar; artificial intelligence; intelligent sensors; space-time adaptive processing; AI; active radar system; aircraft sensor system; artificial intelligence techniques; capabilities-based modeling approach; waveform diversity; Aircraft; Artificial intelligence; Force sensors; Intelligent sensors; Laboratories; Radar; Real time systems; Sensor systems; Signal processing algorithms; Weapons;
fLanguage
English
Publisher
ieee
Conference_Titel
Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on
Print_ISBN
0-7803-7958-6
Type
conf
DOI
10.1109/KIMAS.2003.1245056
Filename
1245056
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