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Statistics and Probability of Detection in Wind Turbine Radar Clutter
Author(s) -
S. Sinthuja,
S. V. Saravanan
Publication year - 2017
Publication title -
bulletin of electrical engineering and informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.251
H-Index - 12
ISSN - 2302-9285
DOI - 10.11591/eei.v6i4.865
Subject(s) - radar , turbine , wind power , acknowledgement , clutter , rayleigh distribution , offshore wind power , goodness of fit , meteorology , computer science , environmental science , statistics , engineering , probability density function , mathematics , geography , aerospace engineering , telecommunications , electrical engineering , computer security
A wind develops inside the perceptible pathway of a radar not simply makes undesirable radar returns as false targets furthermore truly impacts the radar's ability to distinguish centres of excitement for the area of the farm. In this work, accurate RCS models of wind turbines are delivered in perspective of honest to goodness wind turbine mess estimations, and acknowledgement probabilities of Swerling-1 centres and moreover undesirable wind turbines are registered. Results appear differently about those gained by expecting that wind turbine chaos is Rayleigh (or exponentially) circled.

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