Affiliations: [a] Politechnika Ƚódzka, Instytut Elektroniki, ul. Wólczańska, Ƚódź, Poland | [b] Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy
Abstract: The paper presents the exploitation of a lowest-order
algorithm of evolutionary computing (EStra) for identifying the parameters
of a simplified human body model (phantom). A simplified model is well
suited in view of the computationally-expensive field simulation of wearable
antennas located in a close proximity to the human body. In the paper, an
automated procedure based on evolutionary computing and Finite Difference
Time Domain (FDTD) computational electrodynamics method is proposed to
identify the parameters of the simplified model. Subsequently, after
identifying the parameter values, the simplified model is compared to a
heterogeneous anthropomorphic human-body model. The comparison is based on
the analysis of impedance matching of the same dipole antenna located on
both the anthropomorphic and simplified phantoms.
Keywords: Parameter identification, evolutionary computing, finite-difference time domain, human body model, wearable antennas
