Analysis of Fixed Beamforming Algorithms for Smart Antenna Systems

Authors: Muhammad Umair Shahid, Abdul Rehman, Mudassir Mukhtar, Muhammad Nauman

Abstract:

The smart antenna is the prominent technology that has become known in recent years to meet the growing demands of wireless communications. In an overcrowded atmosphere, its application is growing gradually. A methodical evaluation of the performance of Fixed Beamforming algorithms for smart antennas such as Multiple Sidelobe Canceller (MSC), Maximum Signal-to-interference ratio (MSIR) and minimum variance (MVDR) has been comprehensively presented in this paper. Simulation results show that beamforming is helpful in providing optimized response towards desired directions. MVDR beamformer provides the most optimal solution.

Keywords: Fixed weight beamforming, array pattern, signal to interference ratio, power efficiency, element spacing, array elements, optimum weight vector.

Digital Object Identifier (DOI): doi.org/1

References:

[1] “Smart Antennas for Wireless Communications”, Frank Gross with MATLAB by McGraw-Hill Companies Inc. 2006.
[2] “Application of antenna arrays to mobile communications, part II: Beamforming and direction of-arrival considerations”, Godara L., Proc. IEEE, vol. 85, No. 8 Aug, 1997.
[3] “Beamformer: A versatile approach to spatial filtering”, Barry D. Van Veen and Kevin M. Buckley, IEEE ASSP magazine April 1988.
[4] “Performance analysis of Beamforming Algorithms”, Reeta Gaokar and Dr. Alice Cheeran IJECT Vol. 2 Issue I, March 2011.
[5] “Robust Algorithms for DOA estimation and Adaptive beamforming for Smart Antenna application”, Suchita W. Varade, K. D. Kulat, ICETET, 2009.
[6] Dahrouj H., Yu W., “Coordinated Beamforming for the Multicell Multi-Antenna Wireless System”. IEEE transactions on wireless communications, vol. 9, no. 5, May 2010.
[7] “Antenna Theory analysis and design”, Constantine A. Balanis, john Wiley & Sons, Inc. 3rd edition, 2005.