Zobrazeno 1 - 10
of 24
pro vyhledávání: '"C.T. Capraro"'
Autor:
I. Bradaric, Gerard T. Capraro, C.T. Capraro, W.J. Baldygo, Michael C. Wicks, Donald D. Weiner
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 42:1080-1099
Many practical problems arise when implementing digital terrain data in airborne knowledge-aided (KA) space-time adaptive processing (STAP). This paper addresses these issues and presents solutions with numerical implementations. In particular, using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebf4ae84420bdf7182aef5b21e985d17
https://doi.org/10.1109/taes.2006.248199
https://doi.org/10.1109/taes.2006.248199
Akademický článek
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Publikováno v:
2012 IEEE Radar Conference.
Recently introduced Lorentz-based chaotic waveforms possess many desirable radar characteristics. In this paper we examine their detectability. We consider two passive detectors of radar emissions — square-law and delay-multiply detectors. We measu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f7f258041597cb260abd4d3aca5bcf
https://doi.org/10.1109/radar.2012.6212287
https://doi.org/10.1109/radar.2012.6212287
Autor:
Y. Bar-Yam, C.T. Capraro
Publikováno v:
Computational Materials Science. 1:169-176
The kinetics of diamond thin-film growth is explored based on a previously proposed multiple-regrowth mechanism. In this theory surface relaxation occurs only through rapid deposition and removal of atoms. Atom removal occurs through selective etchin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51fdf37100476182f542fe304659ccc8
https://doi.org/10.1016/0927-0256(93)90008-b
https://doi.org/10.1016/0927-0256(93)90008-b
Publikováno v:
2008 IEEE Radar Conference.
Genetic algorithms have proven to be useful tools in optimizing complex problems with large solution spaces. Radar waveform selection is a challenging problem that may benefit from the use of genetic algorithms. Furthermore, advances in the areas of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0174bbc6ca9d2adb17d97d7a56a7378
https://doi.org/10.1109/radar.2008.4720947
https://doi.org/10.1109/radar.2008.4720947
Publikováno v:
Knowledge-Based Radar Detection, Tracking, and Classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::356a298dee04759fc7fd75166cff5c29
https://doi.org/10.1002/9780470283158.ch6
https://doi.org/10.1002/9780470283158.ch6
Publikováno v:
2007 IEEE Radar Conference.
Proper use of knowledge of the environment can assist in the detection and tracking of targets within a radar system. Referenced research shows that knowledge-aided (KA) algorithms using terrain data enhances radar performance in the filtering, detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f02feb16fa5669f1bf7b22db6327dce
https://doi.org/10.1109/radar.2007.374241
https://doi.org/10.1109/radar.2007.374241
Publikováno v:
2006 International Waveform Diversity & Design Conference.
This paper addresses the design and analysis of a Knowledge Aided (KA) detector for airborne Space Time Adaptive Processing (STAP) applications. This processor is composed of a training data selector, which chooses secondary cells best representing t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db584367335ce1c3a4cdf6b385d6cd0a
https://doi.org/10.1109/wdd.2006.8321442
https://doi.org/10.1109/wdd.2006.8321442
Publikováno v:
Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509).
Secondary data selection for estimation of the clutter covariance matrix, needed in space-time adaptive processing (STAP), is normally obtained from range rings nearby the cell under test. The assumption is that these range rings contain cells that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf9d37f4ce0c988933341fb29c2b6ac1
https://doi.org/10.1109/nrc.2004.1316450
https://doi.org/10.1109/nrc.2004.1316450
Publikováno v:
IEMC '03 Proceedings. Managing Technologically Driven Organizations: The Human Side of Innovation and Change (IEEE Cat. No.03CH37502).
Future US Air Force sensor systems must be able to adapt to changing environments in real time. A capabilities-based modeling approach offers a new method for building the next generation weapon system. To accommodate this model based approach, the D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa7bb11a99dfec2a54fafdb800bbd912
https://doi.org/10.1109/kimas.2003.1245056
https://doi.org/10.1109/kimas.2003.1245056