Efficient modeling of missile RCS magnitude responses by Gaussian processes

dc.contributor.authorJacobs, Jan Pieter
dc.contributor.authorDu Plessis, Warren Paul
dc.contributor.emailjpjacobs@up.ac.zaen_ZA
dc.date.accessioned2019-01-23T10:32:44Z
dc.date.available2019-01-23T10:32:44Z
dc.date.issued2017-11
dc.description.abstractAn efficient technique for modeling radar cross section magnitude responses versus frequency is presented. The technique is based on Gaussian process regression and makes it possible to significantly reduce the number of expensive computer simulations required to accurately resolve these responses. Examples of two missiles are used to evaluate the proposed technique. Average predictive normalized root-mean-square errors (RMSEs) of 1.24% and 1.63% were obtained, with the worst RMSE being less than 2.2%. These results were significantly better than results obtained with alternative techniques, including geometric theory of diffraction-based modeling and support vector regression.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.librarianhj2019en_ZA
dc.description.sponsorshipThe National Research Foundation of South Africa (NRF) (Grant specific unique reference numbers (UIDs) 85845 and 103855).en_ZA
dc.description.urihttp://ieeexplore.ieee.org/xpl/RecentIssue.jsp?reload=true&punumber=7727en_ZA
dc.identifier.citationJacobs J.P., Du Plessis W.P. 2017, 'Efficient modeling of missile RCS magnitude responses by Gaussian processes', IEEE Antennas and Wireless Propagation Letters, vol. 16, art. 8100883, pp. 3228-3231.en_ZA
dc.identifier.issn1536-1225
dc.identifier.other10.1109/LAWP.2017.2771236
dc.identifier.urihttp://hdl.handle.net/2263/68217
dc.language.isoenen_ZA
dc.publisherInstitute of Electrical and Electronics Engineersen_ZA
dc.rights© 2017 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permissionen_ZA
dc.subjectGaussian processes (GP)en_ZA
dc.subjectModelingen_ZA
dc.subjectRadar cross section (RCS)en_ZA
dc.subjectComputation theoryen_ZA
dc.subjectCovariance matrixen_ZA
dc.subjectGaussian distributionen_ZA
dc.subjectGaussian noise (electronic)en_ZA
dc.subjectMean square erroren_ZA
dc.subjectMissilesen_ZA
dc.subjectModelsen_ZA
dc.subjectPersonnel trainingen_ZA
dc.subjectComputational modelen_ZA
dc.subjectGeometric theory of diffractionsen_ZA
dc.subjectSupport vector regression (SVR)en_ZA
dc.subjectTraining dataen_ZA
dc.subjectRoot-mean-square error (RMSE)en_ZA
dc.titleEfficient modeling of missile RCS magnitude responses by Gaussian processesen_ZA
dc.typePostprint Articleen_ZA

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