A new algorithm is proposed, leveraging a 3D multipole expansions of the electromagnetic fields, to accurately determine the operational range of a radiative near-field on-body radio-frequency identification (RFID) system based on its far field radiation patterns, simulated or measured, under realistic deployment conditions. We illustrate the advocated method by an interrogating 866 MHz standard gain horn (SGH) and a passive eighth-mode substrate integrated waveguide (SIW) textile antenna deployed on an arm. The resulting algorithm is order 107 times faster than full-wave software, largely outperforms the range calculation via the traditional far field link method and it is capable of very accurately predicting the exchanged power.
Spectral Bayesian Optimization Using a Physics-Informed Rational Szegö Kernel for Microwave Design
Microwave device design increasingly relies on surrogate modeling to accelerate optimization and reduce costly electromagnetic (EM) simulations. This paper presents a spectral Bayesian optimization (SBO)