Resonant frequency of a rectangular patch antenna using asymptotic basis functions

Author(s):  
Amel Boufrioua ◽  
Abdelmadjid Benghalia ◽  
Farid Bouttout
2014 ◽  
Vol 971-973 ◽  
pp. 1148-1151
Author(s):  
Ruo Yan Han ◽  
Wei He ◽  
Ping Lu ◽  
He Ling Cai ◽  
Jiao Hong

The probe-fed rectangular patch antenna with the Minkowski fractal structure which for 2.45GHz was simulated by using high frequency electromagnetic simulation software HFSS V11.The Simulation results showed that it was similar to side-fed square patch antenna with the Minkowski fractal structure. The resonant frequency decreased with fractal iteration, and the size of the antenna could be miniaturized. And antenna pattern unchanged with fractal iteration mostly, which meet the application requirements basically.


Electronics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 502 ◽  
Author(s):  
Junho Yeo ◽  
Jong-Ig Lee

A slot-loaded microstrip patch sensor antenna is proposed to enhance sensitivity in measuring the permittivity of planar materials. A thin rectangular slot was etched along the radiating edge of a rectangular patch antenna fed by a microstrip transmission line. Two resonant frequencies were created at a lower frequency compared to the single resonant frequency of a conventional ordinary patch antenna. The sensitivity of the proposed slot-loaded patch antenna was measured by the shift in the resonant frequency of the input reflection coefficient when the planar dielectric superstrate was placed above the patch, and was compared with that of a conventional patch antenna without the slot. The two antennas were designed and fabricated on a 0.76 mm-thick RF-35 substrate for the first resonant frequency to resonate at 2.5 GHz under unloaded conditions. Five different standard dielectric samples with dielectric constants ranging from 2.17 to 10.2 were tested for sensitivity comparison. The experiment results showed that the measured sensitivity of the proposed patch antenna were 3.54 to 4.53 times higher, compared to a conventional patch antenna, for the five samples.


2020 ◽  
Vol 16 (3) ◽  
pp. 155014772090819
Author(s):  
Chunfeng Wan ◽  
Liyu Xie ◽  
Kangqian Xu ◽  
Songtao Xue ◽  
Can Jiang ◽  
...  

The strain sensor based on microwave patch antenna is proposed to monitor structural strain in structural health monitoring. When patch antenna experiences deformation, the resonant frequency of patch antenna will shift. With these characteristics, the patch antenna can operate as both the strain-sensing element and communication component. This article chooses an RT-5880 rectangular patch antenna for strain measurement, focusing on its sensing performance. For distinguishing the influence of deformation in the antenna’s length direction and width direction, the numerical simulation is implemented, and then two kinds of laboratory experiments are conducted. The first approach is to paste antennas in longitudinal and transverse ways and solve the equation set. The other approach is to design another patch antenna with narrow width and compare the test results with the wide one. All results show that the influence of deformation in wide direction on sensitivity can be neglected, and the resonant frequency shift has a good linear relationship with the strain of antenna in length direction.


Author(s):  
Lahcen Aguni ◽  
Samira Chabaa ◽  
Saida Ibnyaich ◽  
Abdelouhab Zeroual

In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity with a good accuracy.


2016 ◽  
Vol 78 (5-5) ◽  
Author(s):  
Nornikman Hassan ◽  
Mohamad Zoinol Abidin Abd. Aziz ◽  
Muhammad Syafiq Noor Azizi ◽  
Mohamad Hafize Ramli ◽  
Mohd Azlishah Othman ◽  
...  

In this project, the different locations of the quadruple P-spiral split ring resonator (MI-SRR) structure are embedded in the basic rectangular patch antenna. It started with a basic rectangular microstrip patch antenna that simulated in CST Microwave Studio software. After that, four different locations (Location A, Location B, Location C and Location D) of QPS-SRR had chosen to compare its performance of return loss, resonant frequency, surface current radiation pattern, and gain. Location A is representing the antenna with the QPS-SRR at the center part of the patch while Location B has the QPS-SRR at the upper part of the FR-4 substrate. For the Location C and Location D represent the antenna with MI-SRR at the ground at antenna with MI-SRR at the other layer, respectively. Compared with the basic rectangular antenna with only – 27.082 dB, the best return loss was reached by Location A with - 34.199 dB with resonant frequency at 2.390 GHz, while the Location C only shifted the minor value to 2.394 GHz with only - 25.13 dB.


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