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Artificial Models for Determining Antenna Parameters for a Resonant Frequency

Author : Moumi Pandit and Tanushree Bose Roy

Pages : 297-302
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In this paper, two models are developed based on artificial intelligence which can be used to estimate the length, width and position of the radiating element which are the design parameters of square monopole antenna required to make it operate in a particular frequency band of 4.5 GHz and 8.9 GHz. All the antennas designed using these models gives a wideband of 4.5GHz – 5 GHz. One of the two models were developed using Artificial neural network(ANN) and the other model was developed using a hybrid technique of ANN and Fuzzy logic named as Adaptive neuro fuzzy inference system(ANFIS) .The results given by the prepared models are compared with the results of IE3D software which are accurate enough to be used for designing square monopole antenna . The hybrid model called ANFIS combines both the training and optimization techniques due to which it is giving much better result when compared to the traditional model based on neural network approach. The ANFIS model is better in terms of both time and accuracy. So, this model is accurate enough to measure the parameters of the monopole antenna which will be used for designing the antenna. Thus, ANFIS model not only eliminates the long time consuming process of finding various designing parameters using costly software packages like ANN model but also faster yielding more accurate results.

Keywords: Monopole Antenna, Adaptive Neuro -Fuzzy Inference system, Back Propagation Algorithm, and neural Network.


Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.2 (June- 2013)




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