Frontiers of Electrical and Electronic Engineering >

2012 , Vol. 7 >Issue 3: 293 - 298

DOI: https://doi.org/10.1007/s11460-012-0203-1

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
Expand
  • 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
Fold

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.

Key words： flexible substrate; multiple-input multiple-output (MIMO) systems; artificial neural networks (ANNs); mutual coupling; impedance bandwidth

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

References

Publishing order | Descend order by publishing year | Descend order by cited within
1
Yang L, Rida A, Vyas R, Tentzeris M M. RFID tag and RF structures on a paper substrate using inkjet-printing technology. IEEE Transactions on Microwave Theory and Techniques, 2007, 55(12): 2894–2901

2
Tentzeris M M, Yang L, Rida A, Traille A, Vyas R, Wu T. RFID’s on paper using inkjet-printing technology: Is it the first step for UHF ubiquitous “cognitive intelligence” and “global tracking”? In: Proceedings of the 1st Annual RFID Eurasia. 2007, 1–4

3
Rida A, Vyas R, Basat S, Ferrer-Vidal A, Yang L, Bhattacharya S K, Tentzeris M M. Paper-based ultra-low-cost integrated RFID tags for sensing and tracking applications. In: Proceedings of the 57th Electronic Components and Technology Conference. 2007, 1977–1980

4
Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas. Wireless Personal Communications, 1998, 6(3): 311–335

DOI

5
Abouda A A, Häggman S G. Effect of mutual coupling on capacity of MIMO wireless channels in high SNR scenario. Progress in Electromagnetics Research, 2006, 65: 27–40

6
Humphrey D E J, Fusco V F. A mutual coupling model for microstrip patch antenna pairs with arbitrary orientation. Microwave and Optical Technology Letters, 1998, 18(3): 230–233

DOI

7
Nikolic M M, Djordevic A R, Nehorai A. Microstrip antennas with suppressed radiation in horizontal directions and reduced coupling. IEEE Transactions on Antennas and Propagation, 2005, 53(11): 3469–3476

DOI

8
Zhang Q J, Gupta K C, Devabhaktuni V K. Artificial neural networks for RF and microwave design — from theory to practice. IEEE Transactions on Microwave Theory and Techniques, 2003, 51(4): 1339–1350

DOI

9
Kabir H, Wang Y, Yu M, Zhang Q J. Neural network inverse modeling and applications to microwave filter design. IEEE Transactions on Microwave Theory and Techniques, 2008, 56(4): 867–879

DOI

10
Rida A H. Conductive inkjet printed antennas on flexible low-cost paper-based substrates for RFID and WSN applications. <DissertationTip/>Thesis for the Master’s Degree. Atlanta, GA: Georgia Institute of Technology, 2009

11
Bhardwaj D, Bhatnagar D, Sancheti S, Soni B. Radiations from double notched square patch antenna on FR4 substrate. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 2008, 7(2): 54–64

12
Azim R, Tariqul Islam M, Misran N, Cheung S W, Yamada Y. Planar UWB antenna with multi slotted ground plane. Microwave and Optical Technology Letters, 2011, 53(5): 966–968

13
Yang T, Tian X J. A novel heart-shaped monopole antenna for UWB and RFID applications. Microwave and Optical Technology Letters, 2011, 53(10): 2288–2291

DOI

14
Osman M A R, Rahim M K A, Azfar M, Samsuri N A, Zubir F, Kamardin K. Design, implementation and performance of ultra-wideband textile antenna. Progress in Electromagnetics Research B, 2011, 27: 307–325

Options
Outlines

/

〈 〉