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Broadband low‐profile microstrip antenna design using GPSO based on MOM
Author(s) -
Lin Chen,
Zhang FuSun,
Zhao Gang,
Zhang Fan,
Jiao YongChang
Publication year - 2010
Publication title -
microwave and optical technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.304
H-Index - 76
eISSN - 1098-2760
pISSN - 0895-2477
DOI - 10.1002/mop.25069
Subject(s) - microstrip antenna , broadband , particle swarm optimization , microstrip , microwave , electronic engineering , bandwidth (computing) , engineering , acoustics , antenna (radio) , computer science , electrical engineering , telecommunications , physics , algorithm
A new evolutionary approach for broadband low‐profile microstrip antenna design is presented. The modified particle swarm optimization algorithm inspired by the wild geese group (Geese‐PSO) and the method of moments (MOM) are combined to optimize the antenna satisfying a certain design criterion. The antenna geometric parameters are extracted to be optimized by Geese‐PSO, and a fitness value is evaluated by MOM simulator to represent the performance of each candidate design. The optimized microstrip antenna with a U‐shaped parasitic element, printed on a thin substrate (thickness of 0.008 λ 0 ), achieves the measured bandwidth of 63 MHz (2.56%), corresponding to the simulated bandwidth of 65 MHz. The agreement between the simulated and measured bandwidths testifies the validity of the GPSO/MOM method. © 2010 Wiley Periodicals, Inc. Microwave Opt Technol Lett 52:975–979, 2010; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.25069