Artificial Neuraln Network based Design of Modified Shaped Patch Antenna | Zendy

Rajvinder Kaur | Zendy; Ashwani Kumar Narula | Zendy

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Artificial Neuraln Network based Design of Modified Shaped Patch Antenna

Author(s) -

Rajvinder Kaur,

Ashwani Kumar Narula

Publication year - 2017

Publication title -

international journal of intelligent systems and applications

Language(s) - English

Resource type - Journals

eISSN - 2074-9058

pISSN - 2074-904X

DOI - 10.5815/ijisa.2017.04.04

Subject(s) - computer science , hfss , patch antenna , microstrip antenna , antenna (radio) , matlab , artificial neural network , acoustics , telecommunications , artificial intelligence , physics , operating system

Artificial neural network based model is estimated for modified shaped circular patch antenna. The Levenberg Marquardt (LM) algorithm is used to train the network, different antenna parameters in the X and Ku band are taken as input and delivers antenna dimensions as output. The dimensions obtained from estimated neural network model closely agrees the simulated results over the X and Ku band for FR4 epoxy substrate with 1.5 mm thickness. The simulation of microstrip patch antenna is carried out using Ansoft HFSS simulation software and the analysis of neural network model results are carried out using MATLAB. Thus, the estimated model can be used to obtain the antenna dimensions for circular patch antenna.

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