Title :
Metacognition in radar
Author :
Capraro, Gerard T. ; Wicks, Michael C. ; Schneible, Richard
Author_Institution :
Capraro Technol., Inc., Utica, NY, USA
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;
Conference_Titel :
Cognitive Information Processing (CIP), 2010 2nd International Workshop on
Conference_Location :
Elba
Print_ISBN :
978-1-4244-6457-9
DOI :
10.1109/CIP.2010.5604113