Preprint Article Version 1 This version is not peer-reviewed

Calculation of Resonant Frequency for a Microstrip Antenna with Vertical Slots Using Applying Adaptive Network-Based Fuzzy Inference System

Version 1 : Received: 1 October 2017 / Approved: 2 October 2017 / Online: 2 October 2017 (09:16:02 CEST)

A peer-reviewed article of this Preprint also exists.

Abbasi Layegh, M.; Ghobadi, C.; Nourinia, J. The Optimization Design of a Novel Slotted Microstrip Patch Antenna with Multi-Bands Using Adaptive Network-Based Fuzzy Inference System. Technologies 2017, 5, 75. Abbasi Layegh, M.; Ghobadi, C.; Nourinia, J. The Optimization Design of a Novel Slotted Microstrip Patch Antenna with Multi-Bands Using Adaptive Network-Based Fuzzy Inference System. Technologies 2017, 5, 75.

Journal reference: Technologies 2017, 5, 75
DOI: 10.3390/technologies5040075

Abstract

This paper attempts at applying adaptive network-based fuzzy inference system (ANFIS) for analysis of the resonant frequency of a microstrip rectangular patch antenna with two equal size slots which are placed on the patch vertically. The resonant frequency is calculated as the position of slots is shifted to the right and left sides on the patch. As a result , the antenna resonates at more than one frequency . Commonly, machine algorithms based on artificial neural networks are employed to recognize the whole resonant frequencies. However ,they fail to estimate the resonant frequencies correctly as in some cases variations are not very sensible and the resonant frequencies overlap each other . It can be concluded that artificial neural networks could be replaced in such designs by the adaptive network-based fuzzy Inference system due to its high approximation capability and much faster convergence rate.

Subject Areas

: microstrip antenna, vertical slots , adaptive network-based fuzzy Inference system , resonant frequency, artificial neural networks

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