Resonant frequency of wedge shaped microstrip antenna

1990 ◽  
Vol 26 (13) ◽  
pp. 912 ◽  
Author(s):  
R.K. Mishra ◽  
S.S. Pattnaik
2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
P. Nageswara Rao ◽  
N. V. S. N. Sarma

The effect of indentation angle of Koch fractal boundary applied to a triangular patch on the resonant behavior and bandwidth is presented. It is shown that the resonant frequency can be controlled by changing the indentation angle of the boundary. With the experimental verification, it is established that for an indentation angle of more bandwidth is obtained compared to conventional .


Author(s):  
Srabani Bhattacharyya ◽  
Dia Ghosh ◽  
Goutam Kumar Singh ◽  
Reema Singh ◽  
Aditya Raj ◽  
...  

2012 ◽  
Vol 2012 (1) ◽  
pp. 001078-001080
Author(s):  
Deepukumar Nair ◽  
Glenn Oliver ◽  
Jim Parisi

Organic coverlays are required to protect microstrip circuits in most applications. The presence of coverlay can potentially influence the performance of microstrip antennas. This paper describes the qualification of polyimide based coverlays for microstrip antennas both in 900 MHz and 2.50 GHz frequency bands. An Inverted F-shaped antenna fabricated on FR-4 dielectric is used as the test vehicle and two different coverlay materials are tested with respect to key parameters like resonant frequency, S11 bandwidth, antenna gain, frequency detuning, and radiation pattern. The data presented in this paper clearly indicates polyimide materials are well suited to cover microstrip antenna circuits with minimal impact on performance.


2014 ◽  
Vol 577 ◽  
pp. 632-635 ◽  
Author(s):  
Peng Geng ◽  
Shu Hui Yang ◽  
Yue Wang ◽  
Yin Chao Chen

In this paper we designed a 5.8GHZ microstrip antenna whose relative bandwidth is 3.77% and return loss is-36.941dB. It meets the needs of RFID systems.Besides, the resonant frequency of the antennas is reduced to 5.2GHZ, after adding the “I” ring resonator. Also, the paper shows that the other performance of the antenna still meet the RFID system requirements. It is 47.1% of the original size after adjusting the resonant frequency of the antenna to 5. 8GHz.


Author(s):  
Sami Bedra ◽  
Siham Benkouda ◽  
Tarek Fortaki

Purpose – The paper aims to propose an artificial neural network (ANN) in conjunction with spectral domain formulation for fast and accurate determination of the resonant frequency and quality factor of circular microstrip antenna printed on isotropic or anisotropic substrate. This neurospectral approach reduces the problem complexity. Design/methodology/approach – The moment method implemented in the spectral domain provides good accuracy but its computational cost is high due to the evaluation of the slowly decaying integrals and the iterative nature of the solution process. The paper introduces the electromagnetic knowledge combined with ANN in the analysis of circular microstrip antenna on isotropic or uniaxially anisotropic substrate to reduce the complexity of the spectral approach and to minimize the CPU time necessary to obtain the numerical results. Findings – The resonant frequency results obtained from the neural model are in very good agreement with the experimental and theoretical results available in the literature. Finally, numerical results for the substrate anisotropy effect on the resonant frequency, quality factor and radiation pattern are also presented. Originality/value – The paper develops fast and accurate model based on ANN technique to calculate the resonant frequencies and quality factors of circular microstrip antennas. ANN is used to model the relationship between the parameters of the microstrip antenna and the resonant frequencies and quality factors obtained from the spectral domain approach. This relatively simple model allows designers to predict accurately the resonant frequencies and quality factors for a given design without having to develop or run the spectral method codes themselves. The main advantages of the method are: less computing time than the spectral model, results with accuracy equivalent to that of full-wave models and cost effectiveness, since the client can use a simple PC for implementation. Another advantage of the proposed ANN model is that it takes into account the uniaxial anisotropy in the substrate without increasing the network size. This is done by combining ANN with electromagnetic knowledge.


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