DocumentCode
3335364
Title
Metacognition in radar
Author
Capraro, Gerard T. ; Wicks, Michael C.
Author_Institution
Capraro Technol., Inc., Utica, NY, USA
fYear
2010
fDate
20-24 Sept. 2010
Firstpage
693
Lastpage
696
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetics in Advanced Applications (ICEAA), 2010 International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-7366-3
Type
conf
DOI
10.1109/ICEAA.2010.5651574
Filename
5651574
Link To Document