Design and Optimization of Dual Band Microstrip Antenna Using Particle Swarm Optimization Technique

Behera, Santanu Kumar; Choukiker, Yogesh Kumar

doi:10.1007/s10762-010-9722-0

Cited by 16 publications

(6 citation statements)

References 14 publications

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“…Step 2: Initialize the parameters W (1) ,…, W (L) , B (1) ,…, B (L) of each layer and hyperparameters θ of GP, and set them as the initial position of PSO simultaneously.…”

Section: B the Proposed Modelmentioning

confidence: 99%

“…In recent years, optimization design of electromagnetic components is generally by means of numerical simulation or full wave electromagnetic simulation software, e.g., high frequency structure simulator (HFSS), computer simulation technology (CST), combined with global optimization algorithm [1,2], which have achieved some good research results. Generally, high-fidelity results can be obtained by simulating microwave components using full wave electromagnetic simulation software, while the process along with high computational cost and time-consuming, since requiring the invocation of electromagnetic simulation software to evaluate individuals of global optimization method many times.…”

Section: Introductionmentioning

confidence: 99%

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Resonant Frequency Modeling of Microstrip Antenna Based on Deep Kernel Learning

et al. 2021

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“…Step 2: Initialize the parameters W (1) ,…, W (L) , B (1) ,…, B (L) of each layer and hyperparameters θ of GP, and set them as the initial position of PSO simultaneously.…”

Section: B the Proposed Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Resonant Frequency Modeling of Microstrip Antenna Based on Deep Kernel Learning

et al. 2021

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“…These algorithms are inspired by the social behavior of a swarm of bees or birds while searching for food [ 26 ]. The PSO is used to solve various optimization problems in several research fields, particularly antenna and electromagnetism [ 27 ]. It is based on individuals named particles.…”

Section: Optimization Of Rfid Five-slotted Patch Tag By Psomentioning

confidence: 99%

“…The velocity expression of the particle is described as follows [ 25 , 27 ].

where

is the velocity of the particle in the

iteration;

the position of particle in the

iteration; t is the current iteration; W is the weight constant that reduces linearly from 0.9 to 0.6;

and

are arbitrary constants generally set at 2.0;

and

are arbitrary functions distributed between 0 and 1.…”

Section: Optimization Of Rfid Five-slotted Patch Tag By Psomentioning

confidence: 99%

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Optimization of UHF RFID Five-Slotted Patch Tag Design Using PSO Algorithm for Biomedical Sensing Systems

Bouhassoune

Chehri

Saadane

et al. 2020

IJERPH

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In this paper, a new flexible wearable radio frequency identification (RFID) five-shaped slot patch tag placed on the human arm is designed for ultra-high frequency (UHF) healthcare sensing applications. The compact proposed tag consists of a patch structure provided with five shaped slot radiators and a flexible substrate, which minimize the human body’s impact on the antenna radiation performance. We have optimized our designed tag using the particle swarm optimization (PSO) method with curve fitting within MATLAB to minimize antenna parameters to achieve a good return loss and an attractive radiation performance in the operating band. The PSO-optimized tag’s performance has been examined over the specific placement in some parts of the human body, such as wrist and chest, to evaluate the tag response and enable our tag antenna conception in wearable biomedical sensing applications. Finally, we have tested the robustness of this tag by evaluating its sensitivity as a function of the antenna radiator placement over the ground plane or by shaping the ground plane substrate for the tag’s position from the human body. Our numerical results show an optimal tag size with good matching features and promising read ranges near the human body.

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A novel pinwheel fractal multiband antenna design using particle swarm optimization for wireless applications

Manikandan

Sivakumar

2021

Int J Communication

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Summary A novel multiband pinwheel fractal antenna with monopole configuration is proposed. The pinwheel fractal antenna has been fabricated on a commercially available FR4 substrate with a thickness of 1.6 mm. This paper proposes a novel pinwheel antenna with a 50% reduction in the dimension of width with a reduced level of return loss. The proposed antenna has multiband characteristics covering the bands of GSM (900 MHz), DCS (1710 GHz), PCS (1900 MHz), UMTS (1920 MHz), and WLAN (2.4–5.9 GHz) applications. The projected antenna resonates at multiple frequencies with acceptable antenna gain and directivity. The proposed antenna design is optimized by particle swarm optimization (PSO) algorithm. The parametric studies and the design rule for the proposed fractal have been reported. The prototypes of the proposed multiband antenna have been demonstrated. The measured and simulated results ensure the multi‐resonance characteristics and authorize the projected design method and gratify the necessities of handheld wireless communication systems. The performance analysis proves that the proposed novel pinwheel antenna provides reduced return loss.

show abstract

Design and Optimization of Dual Band Microstrip Antenna Using Particle Swarm Optimization Technique

Cited by 16 publications

References 14 publications

Resonant Frequency Modeling of Microstrip Antenna Based on Deep Kernel Learning

Resonant Frequency Modeling of Microstrip Antenna Based on Deep Kernel Learning

Optimization of UHF RFID Five-Slotted Patch Tag Design Using PSO Algorithm for Biomedical Sensing Systems

A novel pinwheel fractal multiband antenna design using particle swarm optimization for wireless applications

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