DocumentCode :
3032852
Title :
Impedance-matched sensor-tag antenna design using genetic algorithm optimization
Author :
Kazanc, Onur ; Dehollain, Catherine ; Maloberti, Franco
Author_Institution :
RFIC Group, Ecole Polytech. Fed. de Lausanne, Lausanne, Switzerland
fYear :
2011
fDate :
27-30 March 2011
Firstpage :
61
Lastpage :
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.
Keywords :
UHF antennas; genetic algorithms; impedance matching; integrated circuits; slot antennas; wireless sensor networks; capacitive reactive impedance; frequency 2.45 GHz; genetic algorithm optimization; impedance matching network; impedance-matched sensor-tag antenna design; inductive reactive impedance; integrated circuit; intrinsic antenna impedance; meandered slot antenna; remotely-powered sensor systems; Impedance; Impedance matching; Microwave antennas; Optimization; Slot antennas; UHF antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Medical Information & Communication Technology (ISMICT), 2011 5th International Symposium on
Conference_Location :
Montreux
Print_ISBN :
978-1-4244-9443-9
Type :
conf
DOI :
10.1109/ISMICT.2011.5759797
Filename :
5759797
Link To Document :
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