An RFID multicriteria coarse- and fine-space tag antenna design

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

10 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number5530375
Pages (from-to)2522-2530
Journal / PublicationIEEE Transactions on Industrial Electronics
Volume58
Issue number6
Publication statusPublished - Jun 2011

Abstract

A new optimization scheme combined with the space-mapping technology and the jumping-gene genetic algorithm (JGGA) is to replace the conventional direct genetic computational type of the optimization scheme for antenna designs. This utilizes the assumption that there is an equivalent linear mapping between the design-parameter ratio and the response ratio in two spaces on the condition that there is only a difference in simulation mesh setup between coarse and fine models of antennas. The design parameters and responses of an optimal individual in coarse space at each generation are collected during the JGGA parameter extraction. The above linear mapping is then used to produce candidates of new design parameters in fine space. A multicriteria decision-making selection strategy is employed to govern the optimization process. This scheme is applied to a novel radio frequency identification tag antenna with an artificial magnetic conductor ground. The operation results of the combination algorithm show great improvement in the optimization when compared with the previous work in the same field. Furthermore, the proposed antenna can show relatively tolerant reading distances in various platform environments through experiments. © 2010 IEEE.

Research Area(s)

  • Combination optimization algorithm, jumping-gene genetic algorithm (JGGA), radio frequency identification (RFID) tag antenna, space mapping (SM)

Citation Format(s)

An RFID multicriteria coarse- and fine-space tag antenna design. / Deng, Jian Hua; Chan, Wing Shing; Wang, Bing-Zhong; Zheng, Shao Yong; Man, Kim Fung.

In: IEEE Transactions on Industrial Electronics, Vol. 58, No. 6, 5530375, 06.2011, p. 2522-2530.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review