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A New TURBO LMS Beamforming for Mobile Communication

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International Journal of Computer Applications
© 2010 by IJCA Journal
Number 2 - Article 2
Year of Publication: 2010
Authors:
H.V Kumaraswamy
Aaquib Nawaz.S
Syed Younus
10.5120/1557-2077

H V Kumaraswamy, Aaquib Nawaz.S and Syed Younus. Article:A New TURBO LMS Beamforming for Mobile Communication. International Journal of Computer Applications 11(2):5–9, December 2010. Published By Foundation of Computer Science. BibTeX

@article{key:article,
	author = {H.V Kumaraswamy and Aaquib Nawaz.S and Syed Younus},
	title = {Article:A New TURBO LMS Beamforming for Mobile Communication},
	journal = {International Journal of Computer Applications},
	year = {2010},
	volume = {11},
	number = {2},
	pages = {5--9},
	month = {December},
	note = {Published By Foundation of Computer Science}
}

Abstract

Array processing involves manipulation of signals induced on various antenna elements. Its capabilities of steering nulls to reduce co-channel interferences and pointing independent beams towards various users, as well as its ability to provide estimate of directions of radiating sources, make it attractive to the mobile communications system designer.

In this paper existing Least Mean Square (LMS) algorithm is modified to obtain lesser Mean Square Error (MSE) by using leaky factor in the weight updation.A novel approach named as TURBO LMS is proposed which reduces the Mean Square Error and increases the convergence speed by a large amount as compared to existing beamforming algorithms. Simulation of Beamforming algorithms namely Least Mean Square (LMS), Leaky Least Mean Square (LLMS) and novel TURBO LMS algorithm are done for various look directions and jammer configurations and their MSE characteristics are compared. MATLAB simulation shows that the proposed TURBO LMS algorithm has improved convergence as compared to existing beamforming algorithms. Performance of TURBO LMS algorithm is measured by varying number of array elements.

Reference

  • Martin-Sacristan, D., et al., "On the Way toward Forth-Generation Mobile: 3GPP LTE-Advanced", EURASIP Journal on Wireless Communications and Networking, vol. 2009, Jun. 2009.
  • Stine, J.A., "Exploiting smart antennas in wireless mesh networks using contention access", IEEE Trans. On Wireless Communications, vol. 13(2), pp. 38-49, 2006.
  • Qian Liu, Minglu Jin and Aifei Liu, “A Modified LMS Algorithm with Turbo-like Scheme”, 3rd International Conference on Innovative Computing Information and Control, IEEE 2008, June 2008, pp-534.
  • Godara, “Applications of Antenna Arrays to Mobile Communications, Part I: Performance Improvement, Feasibility and System Considerations”, IEEE Proceedings, July 1997, Vol 85, pp 102-129.
  • Guancheng Lin, Yaan Li, and Beili Jin, “Research on Support Vector Machines Framework for Uniform Arrays Beamforming”, IEEE International Conference on Intelligent Computation Technology and Automation, 2010
  • Ahmad Al-Diab, Constantinos Sourkounis, “Variable Step Size P&O MPPT Algorithm for PV Systems”, IEEE 12th International Conference on Optimization of Electrical and Electronic Equipment, pp 1097-1102.
  • Zhao, S., Z. Man, and S. Khoo, "A Fast Variable Step-Size LMS Algorithm with System Identification", 2nd IEEE Conference on Industrial Electronics and Applications, Harbin, China, pp. 2340-2345, May 2007.
  • T.Lo, H.Leung, J.Litva, S.haykin, “Fractal characterisation of seascattered signals and detection of sea-surface targets”, IEEE Proceedings, vol.140, pp. 243-250, August 1993.
  • M.Martorella, F. Berizzi, E.D. Mese, “On the fractal dimension of sea surface backscattered signal at low grazing angle”, IEEE Trans. Antennas & Propagation, vol. 52, pp. 1193-1204, May 2004.
  • H.V Kumaraswamy, Aaquib Nawaz.S, Vidyasagar Ture, “Beamforming using VSS-LMS for Mobile Communication”, 4th National Conference on Recent Trends in Communication, Electronics & Information Technology, 23rd and 24th April 2010.pp- 102-105.
  • Kumaraswamy H.V, S.Ravishankar , “ Implementation of Variable Step Size Griffths algorithm for adaptive beamforming”, Proccedings of IEEE international symposium on microwaves, 2008, Vol-8, pp: 31-35.
  • F. Berizzi, E.Dalle Mese, M. Martorella, “A sea surface fractal model for ocean remote sensing”, International Journal of Remote Sensing, vol.25, pp. 1265-1270, 2004.
  • A. Collaro, G. Franceschetti, M. Migliaccio, D. Riccio, “Gaussian rough surfaces and Kirchhoff approxination”, IEEE Trans. on Antennas & Propagation, vol. 47, pp. 392-398, 1999.
  • H.-C. Shin, A. H. Sayed, and W.-J. Song, “Variable step-size NLMS and affine projection algorithms,” IEEE Signal Process. Lett., vol. 11, no. 2, pp. 132–135, Feb. 2004.
  • Sungsoo, Seungwon and Tapan K sarkar, “An Adaptive Beamforming Algorithm with a Linear Complexity for a Multipath Fading CDMA Channel”, IEICE Transaction Communication, Vol E84-B, No 8, August 2001, pp 2317-2320.
  • Okello, Y.Fukui, I.Nakanishi, Kobayashi, M “A New Modified Variable Step Size Algorithm for the LMS algorithm”, IEEE Proceedings of the International Symposium on Circuits and Systems, June 1998 , Vol 5,pp 170 – 173.
  • K. S. Gilhousen, I. M. Jacobs, R. Padovani, A. J. Viterbi, J. Lindsay A. Weaver, and C. E. Wheatley . “On the capacity of a cellular CDMA system”. IEEE Dansactions on Vehicular Technology, 40(2):303-312,1991.
  • A. Jalali and P. Mermelstein. “Effects ofdiversity, power control, and bandwidth on the capacity of microcellular CDMA systems”. IEEE Journal on Selected Areas in Communications, 12(5):952-96 1, 1994.
  • R. H. Kwong and E. W. Johnston, “A variable step size LMS algorithm,” IEEE Trans. Signal Process., vol. 40, no. 7, pp. 1633–1642, Jul. 1992.
  • V. J. Mathews and Z. Xie, “A stochastic gradient adaptive filter with gradient adaptive step size,” IEEE Trans. Signal Process., vol. 41, no. 6, pp. 2075–2087, June 1993.