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pro vyhledávání: '"Hakki Murat Genc"'
Publikováno v:
SIU
In this study, the target motion analysis methods, especially used for passive target tracking in submarines, are implemented using evolutionary algorithms. In target motion analysis problem, using a time sequence of transmitted noise directions of a
Publikováno v:
SIU
In this paper, an evolutionary search approach is proposed for the bearing only target motion analysis problem. A problem spesific modification for the Big Bang-Big Crunch optimization algorithm, namely, Fitness Adaptive Big Bang-Big Crunch optimizat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a10f2262d1510b05b46dfd0cc7840fcd
https://aperta.ulakbim.gov.tr/record/98245
https://aperta.ulakbim.gov.tr/record/98245
Autor:
Ali Koksal Hocaoglu, Hakki Murat Genc
Publikováno v:
2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008).
Target tracking based on passive sensor data is of great importance in practical applications. In bearing only target tracking, the basic parameters defining the target motion is estimated through noise corrupted measurement data. Depending on the no
Publikováno v:
Journal of Multiple-Valued Logic & Soft Computing; 2016, Vol. 26 Issue 3-5, p243-268, 26p, 3 Diagrams, 5 Charts, 2 Graphs
Publikováno v:
2007 15th European Signal Processing Conference; 2007, p970-974, 5p