Multi-objective optimization design of multilayer RFID tag antenna by Pareto GA

Author

Li, Chao ; Feng, Quanyuan

Author_Institution

Inst. of Microelectron., Southwest Jiao tong Univ., Chengdu, China

fYear

2010

fDate

8-11 May 2010

Firstpage

32

Lastpage

35

Abstract

The multi-objective genetic algorithm (MOGA) has been applied to optimize the radiation characteristics of a tri-layer rfid microstrip patch antenna in terms of return-loss, input-impedance, bandwidth and the gain. In addition, the MOGA also optimize the size of the each layer substrate. In order to reduce the size of antenna, the Ferrite substrate has been used and the objective is to achieve high permeability and permittivity for antenna miniaturization and impedance matching to free-space. Ultimately, an antenna has been optimized for -38.63 dB of return-loss, and 3.46 dBi of gain, the size of the antenna is 40*30*3.5(mm).

Keywords

Pareto optimisation; antenna radiation patterns; genetic algorithms; impedance matching; microstrip antennas; permeability; permittivity; radiofrequency identification; Ferrite substrate; Pareto GA; antenna miniaturization; impedance matching; multilayer RFID tag antenna; multiobjective genetic algorithm; multiobjective optimization design; permeability; permittivity; radiation characteristics; tri-layer RFID microstrip patch antenna; Algorithm design and analysis; Bandwidth; Design optimization; Genetic algorithms; Microstrip antennas; Nonhomogeneous media; Pareto optimization; Patch antennas; RFID tags; Radiofrequency identification; Ferrite; MOGA; Patch Antenna; RFID;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Millimeter Wave Technology (ICMMT), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-5705-2

Type

conf

DOI

10.1109/ICMMT.2010.5525297

Filename

5525297