RESEARCH ARTICLE

Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna

  • K. SRI RAMA KRISHNA , 1 ,
  • K. JAGADEESH BABU 2 ,
  • J. LAKSHMI NARAYANA 2 ,
  • L. PRATAP REDDY 3 ,
  • G. V. SUBRAHMANYAM 4
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  • 1. Department of Electronics and Communication Engineering, VR Siddhartha Engineering College, Vijayawada, India
  • 2. Department of Electronics and Communication Engineering, St. Ann’s College of Engineering and Technology, Chirala, India
  • 3. Department of Electronics and Communication Engineering, JNTU College of Engineering, Hyderabad, India
  • 4. Department of Electronics and Communication Engineering, Acharya Nagarjuna University, Guntur, India

Received date: 17 Apr 2012

Accepted date: 27 Jun 2012

Published date: 05 Sep 2012

Copyright

2014 Higher Education Press and Springer-Verlag Berlin Heidelberg

Abstract

A wideband rectangular patch antenna resonating at 3.5 GHz and 8 GHz frequencies is developed on a flexible substrate, which can be used for wearable applications. The proposed antenna gives a wide impedance bandwidth of 116%, operating from 2.5 GHz to 9.5 GHz, covering most of the ultra-wideband (UWB) operating frequency range. A two-element multiple-input multiple-output (MIMO) system is developed using the proposed antenna, and the mutual coupling between the two antennas for various separations and frequencies is analyzed by using artificial neural networks (ANNs). The neural structure is trained by using different ANN algorithms and a comparative study is made between them. It is shown that, quasi-Newton (QN) and quasi-Newton multi layer perceptron (QN-MLP) algorithms are better in terms of training, testing errors, and correlation coefficient.

Cite this article

K. SRI RAMA KRISHNA , K. JAGADEESH BABU , J. LAKSHMI NARAYANA , L. PRATAP REDDY , G. V. SUBRAHMANYAM . Artificial neural network approach for analyzing mutual coupling in a rectangular MIMO antenna[J]. Frontiers of Electrical and Electronic Engineering, 2012 , 7(3) : 293 -298 . DOI: 10.1007/s11460-012-0203-1

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