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- W2762085526 abstract "This paper describes the modeling of the complex reflection coefficient S 11 of a meta-material antenna comprised of an etched microstrip dipole antenna radiating in the presence of a back reflector that is an artifical magnetic conductor (AMC). Both the real and imaginary components of the S parameter exhibit significant changes in rate of variation as a function of position along the frequency dimension of the input space. We show that Gaussian process regression — using a specially constructed composite covariance function that allows for a variable length-scale parameter along the frequency dimension — can succesfully model the components of S 11 . The latter model outperforms a GP model using a well-known standard covariance function from the (stationary) Matern family." @default.
- W2762085526 created "2017-10-20" @default.
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- W2762085526 date "2017-09-01" @default.
- W2762085526 modified "2023-09-25" @default.
- W2762085526 title "On the modeling of non-stationary antenna responses by Gaussian processes" @default.
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- W2762085526 doi "https://doi.org/10.1109/iceaa.2017.8065517" @default.
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