Modeling and Simulation of Adaptive Beamforming for Mobile Communication

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-9 Number-15
Year of Publication : 2014
Authors : Nu Nu Yi , Su Su Yi Mon
  10.14445/22315381/IJETT-V9P343

Citation 

Nu Nu Yi , Su Su Yi Mon. "Modeling and Simulation of Adaptive Beamforming for Mobile Communication", International Journal of Engineering Trends and Technology (IJETT), V9(15),753-757 March 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

This paper presents importance of beamforming technique for next generation broadband wireless mobile systems. Beamforming is a powerful means of increasing capacity, data rates and coverage of the cellular system. In this paper two beamforming techniques, Minimum Variance Distortionless Response (MVDR) and Linear Constraint Minimum Variance (LCMV) are presented. These techniques form radiation beams based on the received weight vector of the desired signal. Simulation has been carried out for two algorithms in MATLAB environment. The uniform linear array (ULA) and Uniform Rectangular Array (URA) smart antenna are used to receive the signal. The ULA contains 10 isotropic antennas. The element spacing is half of the incoming wave`s wavelength and the operation frequency is 9MHz. The URA consists of 10 rows and 5 columns of isotropic antenna elements. The spacing between the rows and the columns are 0.4 and 0.5 wavelengths, respectively.

References

[1] Balanis, C.A. and P.I. Ioannides, ” Introduction of Smart Antennas” Morgan and Claypool Publication, San Rafael, Calif, pp: 174, 2007.
[2] Wong Hok Him, “Adaptive Beamforming Linearly Constrained Minimum Variance (LCMV) Beamforming”, 6th May, 2008.
[3] Li, J. and P. Stoica, “Robust Adaptive Beamforming”, Wiley-Interscience, New York, 2006.
[4] Li, J., P. Stoica, and Z. Wang, “Doubly constrained robust capon beamformer," IEEE Transactions on Signal Processing, Vol. 52,2407-2423, 2004.
[5] Zhang, L., W. Liu, and R. J. Langley, “A minimum variance beamformer with linear and quadratic constraints based on uniform linear antenna arrays," Antennas and Propagation Conference 2009 (LAPC 2009), 585-588, Loughborough, Nov. 16-17, 2009.
[6] Wax, M. and Y. Anu, “Performance analysis of the minimum variance beamformer," IEEE Transactions on Signal Processing, Vol. 44, No. 4, 938-947, Apr. 1996.
[7] Lorenz, R. G. and S. P. Boyd, ‘Robust minimum variance beamforming," IEEE Transactions on Signal Processing, Vol. 53, No. 5, 1684-1696, May 2005.
[8] Rao, B. D., K. Engan, S. F. Cotter, J. Palmer, and K. Kreutz-Delgado, “Subset selection in noise based on diversity measure minimization," IEEE Transactions on Signal Processing, Vol. 51, No. 3, 760-770, Mar. 2003.
[9] Dahrouj H., Yu W., “Coordinated Beamforming for the Multicell Multi-Antenna Wireless System”. IEEE transactions on wireless communications, vol. 9, no. 5, may 2010.
[10] Godara L.,“Application of antenna arrays to mobile communications, part II: Beamforming and direction of-arrival considerations”. Proc. IEEE, vol. 85, No. 8, Aug. 1997.
[11] Friedlander B., Porat B., “Performance analysis of a null-steering algorithm based on direction-of-arrival estimation”. Proc.IEEE Trans. on Signal Processing, vol. 37, no. 4, Apr. 1989.
[12] Huang Y., Panique M., “Performance analysis of a null steering algorithm”. Proc. IEEE, No. 7, July 2007.
[13] Zhao hongwei, Lian Baowang and Feng Juan, “Adaptive Beamforming Algorithm for Interference Suppression in Gnss Receivers” , International Journal of Computer Science & Information Technology (IJCSIT) Vol 3, No 5, Oct 2011.
[14] Compton R. “Adaptive antennas concept and performance”. Prentice Hall, 2011

Keywords
Beamforming, ULA, URA, Minimum variance distortion, Linear constraint minimum variance Introduction