Int. J. of Wireless and Mobile Computing   »   2016 Vol.10, No.1

 

 

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Title: Wide-band helical antenna designed by dynamic constrained multi-objective evolutionary algorithm

 

Authors: Yuhong Jiang; Sanyou Zeng; Hong Zhang; Xi Li

 

Addresses:
School of Computer Science, China University of Geosciences, Wuhan, Hubei, China
School of Computer Science, China University of Geosciences, Wuhan, Hubei, China
School of Computer Science, China University of Geosciences, Wuhan, Hubei, China
School of Computer Science, China University of Geosciences, Wuhan, Hubei, China; School of Information Engineering, Shijiazhuang University of Economics, Hebei, China

 

Abstract: Dynamic Constrained Multi-Objective Evolutionary Algorithm (DCMOEA) is applied to optimise a wide-band helical antenna in this paper. The modelled antenna problem is a constrained two-objective optimisation problem (CMOP). One objective is to maximise the right-hand circular polarisation gain (RHCP gain) over the required radiation range and frequency range. The other one is to minimise the height of the antenna. The constraints contain the requirements on RHCP gain, voltage standing wave ratio (VSWR) and axial ratio (AR). The close-to-Pareto set obtained by DCMOEA satisfies the requirements. Users can choose preferred antennas from the set. One antenna in the set is chosen to compare with the antenna designed by a referred literature. The results show that it has a wider frequency band and higher gain results than the referred one.

 

Keywords: DCMOEA; dynamic constrained multi-objective evolutionary algorithm; helical antenna; constrainted optimisation; multi-objective optimisation; wide-band antenna; antenna design; modelling; right-hand circular polarisation gain; RHCP gain; antenna height; voltage standing wave ratio; VSWR; axial ratio.

 

DOI: 10.1504/IJWMC.2016.075223

 

Int. J. of Wireless and Mobile Computing, 2016 Vol.10, No.1, pp.26 - 34

 

Submission date: 25 Jun 2015
Date of acceptance: 30 Jun 2015
Available online: 07 Mar 2016

 

 

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