DocumentCode
3680457
Title
Metacognition for waveform diverse radar
Author
Gerard T. Capraro;Michael C. Wicks
Author_Institution
Capraro Technologies, Inc. 2118 Beechgrove Place, Utica, NY 13501 USA
fYear
2012
Firstpage
348
Lastpage
351
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
"Program processors","Airborne radar","Artificial intelligence","Radar tracking","Signal processing algorithms","Radar detection"
Publisher
ieee
Conference_Titel
Waveform Diversity & Design Conference (WDD), 2012 International
Type
conf
DOI
10.1109/WDD.2012.7311302
Filename
7311302
Link To Document