2016
DOI: 10.1109/lawp.2015.2476560
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Application of Multiobjective Topology Optimization to Miniature Ultrawideband Antennas With Enhanced Pulse Preservation

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Cited by 12 publications
(16 citation statements)
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“…To achieve the design goal, this work did not perform conventional size optimization approaches, which need a given antenna structure and fine‐tuned associated geometric parameters; instead, the framework of topology optimization was adopted. In mobile antenna design, topology optimization shows the potential to generate an innovative antenna shape, and it exploits a given design area in an efficient way.…”
Section: Limitation Of Conventional Optimization Methodsmentioning
confidence: 99%
“…To achieve the design goal, this work did not perform conventional size optimization approaches, which need a given antenna structure and fine‐tuned associated geometric parameters; instead, the framework of topology optimization was adopted. In mobile antenna design, topology optimization shows the potential to generate an innovative antenna shape, and it exploits a given design area in an efficient way.…”
Section: Limitation Of Conventional Optimization Methodsmentioning
confidence: 99%
“…The material distributive approach of topology optimisation combined with evolutionary algorithms for the design of UWB antennas has been discussed in many literatures [16][17][18][19][20][21]. In [16][17][18][19], the UWB antennas are optimised by dividing the metallic patch into uniform size cells which were implemented using the finite difference time-domain method in combination with mixed model of 2D genetic algorithm (GA) [16,17] and double population GA [18]; the discrete Green's function method combined with binary particle swarm optimisation (BPSO) algorithm [19].…”
Section: Introductionmentioning
confidence: 99%
“…In [16][17][18][19], the UWB antennas are optimised by dividing the metallic patch into uniform size cells which were implemented using the finite difference time-domain method in combination with mixed model of 2D genetic algorithm (GA) [16,17] and double population GA [18]; the discrete Green's function method combined with binary particle swarm optimisation (BPSO) algorithm [19]. The non-uniform segmentation of radiating patch in UWB antenna optimisation was reported in [20,21]. Co-simulation of Computer Simulation Technology Microwave Studio (CST MWS) software and MATLAB with GA [20] and Ansoft High Frequency System Simulator and MATLAB co-simulation with the strength Pareto evolutionary algorithm 2 optimisation algorithm [21] were the implementation methodologies.…”
Section: Introductionmentioning
confidence: 99%
“…In other words, the bandwidth used by these systems is 7.5 GHz which is the largest bandwidth allocated for any commercial use thus far. With such a bandwidth, the potential targets for UWB systems have high data rates and accurate positioning capabilities [1][2][3]. In [1], four planar UWB antennas with cuts at the edges and parasitic loops are employed.…”
Section: Introductionmentioning
confidence: 99%
“…Also two parameterized slits provide additional degrees of freedom that help to ensure good impedance matching. In [3], a multiobjective topology is used for the optimization of the UWB antenna.…”
Section: Introductionmentioning
confidence: 99%