2014-01-09
Analysis of Microstrip Line Feed Slot Loaded Patch Antenna Using Artificial Neural Network
By
Progress In Electromagnetics Research B, Vol. 58, 35-46, 2014
Abstract
In this article, the parametric analysis of the slot-loaded microstrip line feed patch antenna is investigated using artificial neural network model. The bandwidths of the proposed antenna obtained at TM01, TM02, and TM03 frequency modes are 10.2 GHz, 13.6 GHz, and 17.2 GHz, respectively. The performance of the proposed antenna is analysed using artificial neural network model. The changes obtained in bandwidth due to the position of slot length and slot width are reported. The antenna parameters such as return loss, VSWR, gain and efficiency are also calculated. The simulated results obtained with the help of IE3D simulation software are trained and tested using ANN. Theoretical results are compared with simulated and experimental ones, and they are in close agreement.
Citation
Mohammad Aneesh, Jamshed Aslam Ansari, Ashish Singh, Kamakshi, and Saiyed Salim Sayeed, "Analysis of Microstrip Line Feed Slot Loaded Patch Antenna Using Artificial Neural Network," Progress In Electromagnetics Research B, Vol. 58, 35-46, 2014.
doi:10.2528/PIERB13111105
References

1. Kumar, G. and K. P. Ray, Broadband Microstrip Antenna, Artech House, 2003.

2. Vegni, L. and A. Toscano, "Analysis of microstrip antennas using neural networks," IEEE Trans. Magn., Vol. 33, No. 2, 1414-1419, Mar. 1997.
doi:10.1109/20.582522        Google Scholar

3. Mishra, R. K. and A. Patnaik, "Neural network-based CAD model for the design of square-patch antennas," IEEE Transactions on Antennas and Propagation, Vol. 46, No. 12, 1890-1891, Dec. 1998.
doi:10.1109/8.743842        Google Scholar

4. Patnaik, A. R., K. Mishra, G. K. Patra, and S. K. Dash, "An artificial neural network model for effective dielectric constant of microstrip line," IEEE Transactions on Antennas and Propagation, Vol. 45, No. 11, 1697, Nov. 1997.
doi:10.1109/8.650084        Google Scholar

5. Mishra, R. K. and A. Patnaik, "Designing rectangular patch antenna using the neuro spectral method," IEEE Transactions on Antennas and Propagation,", Vol. 51, No. 8, 1914-1921, Aug. 2003.
doi:10.1109/TAP.2003.814748        Google Scholar

6. Guney, K. and N. Sarikaya, "Comparison of MAMDANI and Sugeno fuzzy inference system models for resonant frequency calculation of rectangular microstrip antennas," Progress In Electromagnetics Research B, Vol. 12, 81-104, 2009.
doi:10.2528/PIERB08121302        Google Scholar

7. Watso, P. M. and K. C. Gupta, "Design and optimization of CPW circuits using EM ANN models for CPW components," IEEE Trans. Microwave Theory Techniques, Vol. 45, No. 12, 2515-2523, Dec. 1997.
doi:10.1109/22.643868        Google Scholar

8. Zaabab, A. H., Q. J. Zhang, and M. Nakhla, "Analysis and optimization of microwave circuits & devices using neural network models," IEEE MTT-S Digest, Vol. 1, 393-396, 1994.        Google Scholar

9. Naser-Moghaddasi, M., P. D. Barjoei, and A. Naghsh, "Heuristic artificial neural network for analysing and synthesizing rectangular microstrip antenna," IJCSNS International Journal of Computer Science and Network Security, Vol. 7, No. 12, 278-281, Dec. 2007.        Google Scholar

10. TÄaurker, N., F. Gaunes, and T. Yildirim , "Artificial neural design of microstrip antennas," Turk. J. Elec. Engin., Vol. 14, No. 3, 445-453, 2006.        Google Scholar

11. Peik, S. E., G. Coutts, and R. R. Mansour, "Application of neural networks in microwave circuit modelling," IEEE Canadian Conference on Electrical and Computer Engineering, Vol. 2, 928-931, May 1998.        Google Scholar

12. Devi, S., D. C. Panda, and S. S. Pattnaik, "A novel method of using artificial neural networks to calculate input impedance of circular microstrip antenna ," Antennas and Propagation Society International Symposium, Vol. 3, 462-465, Jun. 2002.        Google Scholar

13. Karaboga, D., K. Guney, S. Sagiroglu, and M. Erler, "Neural computation of resonant frequency of electrically thin and thick rectangular microstrip antennas," IEEE Proceedings, Microwaves, Antennas and Propagation, Vol. 146, No. 2, 155-159, Apr. 1999.
doi:10.1049/ip-map:19990136        Google Scholar

14. Guney, K. and N. Sarikaya, "Resonant frequency calculation for circular microstrip antennas with a dielectric cover using adaptive network-based fuzzy inference system optimized by various algorithms ," Progress In Electromagnetic Research, Vol. 72, 279-306, 2007.
doi:10.2528/PIER07031302        Google Scholar

15. Pattnaik, S. S., D. C. Panda, and S. Devi, "Radiation resistance of coax-fed rectangular microstrip antenna using artificial neural networks," Microwave and Optical Technology Lett., Vol. 34, No. 1, 51-53, Jul. 2002.
doi:10.1002/mop.10370        Google Scholar

16. Thakare, V. V. and P. K. Singhal, "Bandwidth analysis by introducing slots in microstrip antenna design using ANN," Progress In Electromagnetics Research M, Vol. 9, 107-122, 2009.
doi:10.2528/PIERM09093002        Google Scholar

17. Bahal, I. J. and P. Bhartia, Microstrip Antennas, Artech House, 1985.

18. Pandey, V. K. and B. R. Vishvakarma, "Theoretical analysis of linear array antenna of stacked patches," Indian J. Radio & Space Phys., Vol. 3, 125-127, 2005.        Google Scholar

19. Meshram, M. K. and B. R. Vishvakarma, "Gap-coupled microstrip array antenna for wide band operation," Int. J. Electronics, Vol. 88, 1161-1175, 2001.
doi:10.1080/00207210110071288        Google Scholar

20. Wang, E., J. Zheng, and Y. Liu, "A novel dualband patch antenna for WLAN communication," Progress In Electromagnetics Research C, Vol. 6, 289-291, 2009.        Google Scholar

21. Wolf, E. A., Antenna Analysis, Artech house, 1998.

22. Ansari, J. A., A. Mishra, and B. R. Vishvakarma, "Half U-slot loaded semicircular disk patch antenna for GSM mobile phone and optical communications," Progress In Electromagnetics Research C, Vol. 18, 31-45, 2011.        Google Scholar

23. Aneesh, M., J. A. Ansari, A. Singh, K. Kamakshi, and S. Verma, "RBF Neural Network Modeling of Rectangular Microstrip Patch Antenna," 2012 Third International Conference on Computer Comm. Technology, 241-244, 2012.
doi:Doi: 10.1109/ICCCT.2012.56        Google Scholar

24. Guney, K. and N. Sarikaya, "Adaptive neuro-fuzzy inference system for the input resistance computation of rectangular microstrip antennas with thin and thick substrates," Journal of Electromagnetic Waves and Applications, No. 1, 23-39, 2004.
doi:10.1163/156939304322749599        Google Scholar

25. "IE3D simulation software, Version 14.05," Zeeland, 2008.        Google Scholar