CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

A Survey on Applications of Multi Layer Perceptron Neural Networks in DOA Estimation for Smart Antennas

by Subhash Mishra, R. N. Yadav, R. P. Singh
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 83 - Number 17
Year of Publication: 2013
Authors: Subhash Mishra, R. N. Yadav, R. P. Singh
10.5120/14670-2998

Subhash Mishra, R. N. Yadav, R. P. Singh . A Survey on Applications of Multi Layer Perceptron Neural Networks in DOA Estimation for Smart Antennas. International Journal of Computer Applications. 83, 17 ( December 2013), 22-28. DOI=10.5120/14670-2998

@article{ 10.5120/14670-2998,
author = { Subhash Mishra, R. N. Yadav, R. P. Singh },
title = { A Survey on Applications of Multi Layer Perceptron Neural Networks in DOA Estimation for Smart Antennas },
journal = { International Journal of Computer Applications },
issue_date = { December 2013 },
volume = { 83 },
number = { 17 },
month = { December },
year = { 2013 },
issn = { 0975-8887 },
pages = { 22-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume83/number17/14670-2998/ },
doi = { 10.5120/14670-2998 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:59:40.038074+05:30
%A Subhash Mishra
%A R. N. Yadav
%A R. P. Singh
%T A Survey on Applications of Multi Layer Perceptron Neural Networks in DOA Estimation for Smart Antennas
%J International Journal of Computer Applications
%@ 0975-8887
%V 83
%N 17
%P 22-28
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Smart antennas use antenna arrays with signal processing algorithms for identifying signals spatially. The direction of arrival (DOA) estimation has a significant role in the implementation of a smart antenna. The conventional and super resolution methods have been used for DOA estimation applications for a long time. These methods have been quite efficient. However, some of them have computational complexities associated with them. Besides, these methods exhibit limited performance in dealing with the correlated signals. Such reasons limit their suitability for real time applications. Neural networks are non linear and use simple mathematical operators. They map the non linear behavior of smart antennas and perform DOA estimations accurately with considerable time reduction. The multi layer perceptron (MLP) based neural networks have demonstrated their capability of estimating DOAs very effectively even for correlated signals.

References
  1. H. Krim and M. Viberg, "Two Decades of Array Signal Processing Research: A Parametric Approach", IEEE Signal Processing Magazine, pp. 67-94, July 1996
  2. J. H. Winters, "Smart Antennas for Wireless Systems", IEEE Personal Communications, vol. 5, issue 1, pp. 23-27, 1998.
  3. M. Chryssomallis, "Smart Antennas", IEEE Antennas and Propagation Magazine, vol. 42, no. 3, pp. 129-136, June 2000.
  4. S. Bellofiore, C. A. Balanis, J. Foufz, and A. S. Spanias, "Smart-Antenna Systems for Mobile Communication Networks Part I: Overview and Antenna Design", IEEE Antennas and Propagation Magazine , vol. 44, no. 3, 2002.
  5. L. C. Godara, "Smart Antennas", Boca Raton: CRC Press LLC, 2004.
  6. A. H. El. Zooghby, "Smart Antenna Engineering", Artech House, 2005.
  7. A. Alexiou and M. Haardt, 'Smart Antenna Technologies for Future Wireless Systems: Trends and Challenges', IEEE Communications Magazine, pp. 90-97, Sept 2004.
  8. R. H. Roy, "An Overview of Smart Antenna Technology: The Next Wave in Wireless Communications", IEEE Aerospace Conference, vol. 3, pp. 339-345, 1998.
  9. Lal C. Godra, "Applications of Antenna Arrays to Mobile Communications Part1: Performance Improvement, Feasibility, and System Considerations" Proceedings of IEEE vol. 85, no. 7 pp. 1031-1060, July 1997.
  10. Lal C. Godra, "Applications of Antenna Arrays to Mobile Communications, Part 2: Beamforming and Direction of Arrival Considerations", Proceedings of the IEEE, vol. 85, no. 8, pp. 1195-1245, Aug. 1997.
  11. Titus K. Y. Lo, Henry Leung, and John Litwa, "Artificial Neural Network for AOA Estimation in Multipath Environment over the Sea", IEEE Journal of Oceanic Engineering, vol. 19, issue 4, pp. 555-562, Oct. 1994
  12. H. L. Southhall, J. A. Simmeres, and T. H. O'Donnell, "Direction Finding in Phased Arrays with a Neural Network Beamformer", IEEE Transactions on Antennas and Propagation,vol. 43, no. 12, Dec. 1995
  13. S. Bang, S. H. Sheu, and J. Bing, "Neural Network for Detection of Signals in Communications", IEEE Transactions Circuits and Systems I: Fundamental Theory and Applications, vol. 43, no. 8, pp. 644–655, Aug. 1996.
  14. A. H. El. Zooghby, C. G. Christodoulou, and M. Georgiopoulos, "Performance of Radial Basis Function Networks for Direction of Arrival Estimation with Antenna Arrays", IEEE Transactions on Antennas and Propagation, vol. 45, no. 11, pp. 1611-1617, Nov. 1997.
  15. Y. S. Hwu and M. D. Srinath, "A Neural Network Approach to Design of Smart Antennas for Wireless Communication Systems", Record of 31stAsilomar Conference on Signals, Systems and Computers, vol. 1, pp. 145-148, Nov. 1997.
  16. A. H. El Zooghby, C. G. Christodoulou, and M. Georgiopoulos, "A neural network based smart antenna for multiple source tracking", IEEE Transactions on Antennas and Propagation, vol. 48, pp. 768-776, May 2000.
  17. M. Sarevska, B. Milovanovic, and Z. Stankovic, "Alternative Signal Detection for Neural Network Based Smart Antenna", Proceedings of 7th International Seminar on Neural Network Applications in Elect. Engineering, NEUREL, pp. 85-89, Sept. 2004.
  18. S. Haykins, "Neural Networks : A Comprehensive Foundation", IEEE Press, New York, 1994.
  19. B. Widrow , M. A. Lehr, "A 30 Years of Adaptive Neural Networks: Perceptron, Madaline and Backpropagation" Proceedings of the IEEE, vol. 78, issue 9, pp. 1415–1442, 1990.
  20. Kar-Ann Toh and Chong-Yee Lee, "Efficient Network Training For DOA Estimation", Systems, Man, and Cybernetics, IEEE SMC '99 Conference Proceedings, vol. 5, pp. 383-388, 1999.
  21. Q. J. Zhang and K. C. Gupta, "Neural networks for RF and Microwave Design", Artech House, July 2000.
  22. K. L. Du, A. K. Y. Lai , K. K. M. Cheng, and M. N. S. Swamy, "Neural Methods for Antenna Array Signal Processing: A Review", Elsevier Science B. V. , Signal Processing, vol. 82, issue 4, pp 547-561, Apr. 2002.
  23. Q. J. Zhang, K. C. Gupta and V. K. Devabhaktuni, "Artificial Neural Networks for RF and Microwave Design-From Theory to Practice", IEEE Transactions on Microwave Theory and Techniques, vol. 51, No. 4, pp. 1339-1350, April 2003.
  24. A. Patnaik, D. E. Anagnostou, R. K. Mishra, C. G. Cristodoulou, and J. C. Lyke, "Applications of Neural Networks in Wireless Communications", IEEE Antennas and Propagation Magazine, vol. 46, no. 3, pp. 130-137, June 2004.
  25. M. Ibnkahla, "Applications of Neural Networks to Digital Communications - A Survey" Elsevier Signal Processing Journal, vol. 80, issue 7, pp. 1185-1215, July 2000.
  26. L. Merad, F. T. Bendimerad, S. M. Meriah, and S. A. Djennas, "Neural Networks for Synthesis and Optimization of Antenna Arrays", Radio Engineering, vol. 16, no. 1, pp. 23-30, Apr. 2007.
  27. S. Mishra, R. N. Yadav and. R. P. Singh, "Neural Networks in Smart Antenna Design for Co-Channel Interference (CCI) Reduction: A Review", Proceedings of ICWMC 2009, pp. 228-233, Oct. 2009.
  28. A. Rawat, R. N. Yadav, and S. C. Shrivastava, "Neural Network Applications in Smart Antenna Arrays: A Review", International Journal of Electronics and Communication (AEÜ Elsevier), vol. 66, pp. 903-912, Nov. 2012.
  29. Y. M. Wang and Y. L. Ma, "The Performance of Neural Network for High Resolution Direction of Arrival Estimation", Proceedings of International Conference on Circuits and Systems, pp. 301-304, June 1991.
  30. G. Burel & N. Rondel, "Neural Networks for Array Processing: From DOA Estimation to Blind Separation of Sources", International Conference on Systems, Man and Cybernetics, vol. 2, pp. 601-606, Oct. 1993.
  31. P. C. J. Hill and P. D. Wells, "Antenna Beamforming for EW Using Adaptive Layered Networks", IEE Colloquium, London, pp. 2/1-2/5 Jan 1994.
  32. N. D. M. Rondel and G Y Burel, "Co-operation of Multi layer Perceptrons for Angle of Arrival Estimation", Proceedings of 3rd International Conference on Document Analysis and Recognition, vol. 2,pp. 1141-1144,1995.
  33. E. Charpentier and J. J. Laurin, "Sectorial Direction Finding Antenna Array with a MLP Beamformer", IEEE Antenna and Propagation Society International Symposium, vol. 4, pp. 2270-2273, July 1997.
  34. E. Charpentier and J. J. Laurin, "An Implementation of a Direction Finding Antenna for Mobile Communications Using a Neural Network", IEEE Transactions on Antennas and Propagation, vol. 47, pp. 1152-1159, 1999.
  35. E. Danneville, J. J. Brault, and J. J. Laurin, "Implementation of an MLP-based DOA System Using a Reduced Number of MM-wave Antenna Elements", Proceedings of International Joint Conference on Neural Networks, Montreal, Canada, pp 3220-3225, 2005.
  36. H. M. Pour, Z. Atlasbaf, A. Mirzaee and M. Hakak, "Performance of Neural Network Trained with Genetic Algorithm for Direction of Arrival Estimation", Proceedings of First Mobile Computing and Wireless Communications International Conference, pp. 197-202, 2006.
  37. H. M. Pour, Z. Atlasbaf, A. Mirzaee, and M. Hakak, "A Hybrid Approach Involving Artificial Neural Network and Ant Colony Optimization for Direction of Arrival Estimation", Canadian Conference on Electrical and Computer Engineering, CCECE, pp. 1059-1064, 2008.
  38. K. A. Gotsis, E. G. Vaitsopoulos, K. Siakavara, and J. N. Sahalos, "Multiple Signal Direction of Arrival (DOA) Estimation for a Switched-Beam System Using Neural Networks", Proceedings Progress in Electromagn. Research Symposium, Prague, Czech Republic, pp. 420-424, Aug 2007.
  39. K. Gotsis, T. Kaifas, K. Siakavara, and J. Sahalos, "Direction of Arrival (DOA) Estimation for a Switched-Beam DS-CDMA System Using Neural Networks", Proceedings of 19th International Conference Appl. Electromagn. Communications, Croatia, pp. 47–50, Sept 2007.
  40. K. A. Gotsis, T. N. Kaifas, K. Siakavara, and J. N. Sahalos, "Direction of Arrival (DOA) Estimation for a Switched-Beam DS-CDMA System Using Neural Networks", J. Automatika, vol. 49, no. 1–2, pp. 27–33, 2008.
  41. K. A. Gotsis, K. Siakavara, and J. N. Sahalos, "On the Direction of Arrival (DOA) Estimation for a Switched Beam Antenna System Using Neural Networks", IEEE Transactions on Antennas and Propagation, vol. 57, No. 5, pp. 1399-1411, May 2009.
  42. N. J. G. Fonseca, M. Coudyser, J. J. Laurin, and J. J. Brault, "On the Design of a Compact Neural Network-Based DOA Estimation System", IEEE Transactions on Antennas and Propagation, vol. 58, No. 2, February 2010.
  43. Y. L. Sit, M. Agatonovic, and T. Zwick, "Neural Network Based Direction of Arrival Estimation for a MIMO OFDM Radar", Proceedings of the 9th European Radar Conference, EuRAD, pp. 298-301, Oct-Nov 2012.
  44. B Milovanovic, M. Agatonovic, Z. Stankovic, N. Doncov, and M. Sarevska, "Application of Neural Networks in Spatial Signal Processing", 11th Symposium on Neural Network Applications in Elect. Engineering, NEUREL-2012, Serbia, 2012.
  45. M. Agatonovic, Z. Stankovic, N. Doncov, L. Sit , B Milovanovic, and T. Zwick, "Application of Artificial Neural Networks for Efficient High-Resolution 2D DOA Estimation", Radioengineering, vol. 21, no. 4, pp. 1178-1186, Dec 2012.
  46. M. Agatonovic, Z. Stankovic, I. Milovanovic, N. Doncov, L. Sit , B Milovanovic, and T. Zwick, "Efficient Neural Network Approach For 2D DOA Estimation Based On Antenna Array Measurements", Progress in Electromagnetics Research, vol. 137, pp. 741-758, 2013.
Index Terms

Computer Science
Information Sciences

Keywords

Smart antenna Neural network (NN) Direction of Arrival (DOA) Multi layer perceptron (MLP).

Powered by PhDFocusTM