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- W2008604678 abstract "The development of a more unified theory of automatic target recognition (ATR) has received considerable attention overthe last several years from individual researchers, working groups, and workshops. One of the major benefits expectedto accrue from such a theory is an ability to analytically derive performance metrics that accurately predict real-worldbehavior. Numerous sources of uncertainty affect the actual performance of an ATR system, so direct calculation has beenlimited in practice to a few special cases because of the practical difficulties of manipulating arbitrary probability distributionsover high dimensional spaces. This paper introduces an alternative approach for evaluating ATR performance basedon a generalization of NorbertWiener's polynomial chaos theory. Through this theory, random quantities are expressed notin terms of joint distribution functions but as convergent orthogonal series over a shared random basis. This form can beused to represent any finite-variance distribution and can greatly simplify the propagation of uncertainties through complexsystems and algorithms. The paper presents an overview of the relevant theory and, as an example application, a discussionof how it can be applied to model the distribution of position errors from target tracking algorithms." @default.
- W2008604678 created "2016-06-24" @default.
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- W2008604678 date "2010-04-23" @default.
- W2008604678 modified "2023-09-23" @default.
- W2008604678 title "Polynomial chaos theory for performance evaluation of ATR systems" @default.
- W2008604678 doi "https://doi.org/10.1117/12.853747" @default.
- W2008604678 hasPublicationYear "2010" @default.
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