CST – Computer Simulation Technology

Impedance-Matched Sensor-Tag Antenna Design Using Genetic Algorithm Optimization

Title:
Impedance-Matched Sensor-Tag Antenna Design Using Genetic Algorithm Optimization
Author(s):
Onur Kazanc, Catherine Dehollain, Franco Maloberti
Source:
5th International Symposium on Medical Information & Communication Technology (ISMICT), 2011
Vol./Issue/Date:
March 2011
Year:
2011
Page(s):
61 - 64
Abstract:
Optimal matching between tag antenna and integrated circuit is crucial for maximizing delivered power in remotely-powered sensor systems. The method maximizes conjugate matching between antenna with inductive reactive impedance and an integrated circuit with capacitive reactive impedance. Obtaining the desired conjugate impedance by the intrinsic antenna impedance excludes the need of an impedance matching network. This enables fully integrated sensor systems with further miniaturization. In this study the design of a meandered slot antenna with genetic algorithm optimization for an operation frequency of 2.45 GHz is proposed. Investigations on constraints limiting the power link efficiency between reader and tag antenna at system level outline possible design actions and give rise to the design flow of the antenna. Simulation results on the proposed architecture verify the performance of the designed miniaturized antenna.
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