Title :
Metacognition in radar
Author :
Capraro, Gerard T. ; Wicks, Michael C.
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 a 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; radar detection; radar signal processing; airborne ground looking radar sensor; airborne intelligent radar system; artificial intelligence processing; knowledge based detection; knowledge based filter; radar metacognition; Airborne radar; Artificial intelligence; Program processors; Radar tracking; Sensors; Signal processing algorithms;
Conference_Titel :
Electromagnetics in Advanced Applications (ICEAA), 2010 International Conference on
Conference_Location :
Sydney, NSW
Print_ISBN :
978-1-4244-7366-3
DOI :
10.1109/ICEAA.2010.5651574
