DocumentCode :
2605656
Title :
Metacognition in radar
Author :
Capraro, Gerard T. ; Wicks, Michael C. ; Schneible, Richard
Author_Institution :
Capraro Technol., Inc., Utica, NY, USA
fYear :
2010
fDate :
14-16 June 2010
Firstpage :
1
Lastpage :
6
Abstract :
An airborne ground looking radar sensor´s performance may be enhanced by selecting algorithms adaptively as the environment changes. A short description of an airborne intelligent radar system (AIRS) is presented with an in-depth description of the knowledge based filter and detection portions. A second level of artificial intelligence (AI) processing is presented that monitors, tests, and learns how to improve and control the first level. This approach is based upon metacognition.
Keywords :
airborne radar; artificial intelligence; cognition; military radar; radar signal processing; airborne ground looking radar sensor; airborne intelligent radar system; artificial intelligence; knowledge based filter; metacognition; Airborne radar; Artificial intelligence; Clutter; Process control; Radar tracking; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location :
Elba
Print_ISBN :
978-1-4244-6457-9
Type :
conf
DOI :
10.1109/CIP.2010.5604113
Filename :
5604113
Link To Document :
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