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CMA an Optimum Beamformer for a Smart Antenna System

by M. Junaid Khan, Pervez Akhtar, M. Yasin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 5 - Number 7
Year of Publication: 2010
Authors: M. Junaid Khan, Pervez Akhtar, M. Yasin
10.5120/923-1301

M. Junaid Khan, Pervez Akhtar, M. Yasin . CMA an Optimum Beamformer for a Smart Antenna System. International Journal of Computer Applications. 5, 7 ( August 2010), 33-40. DOI=10.5120/923-1301

@article{ 10.5120/923-1301,
author = { M. Junaid Khan, Pervez Akhtar, M. Yasin },
title = { CMA an Optimum Beamformer for a Smart Antenna System },
journal = { International Journal of Computer Applications },
issue_date = { August 2010 },
volume = { 5 },
number = { 7 },
month = { August },
year = { 2010 },
issn = { 0975-8887 },
pages = { 33-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume5/number7/923-1301/ },
doi = { 10.5120/923-1301 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:53:40.182684+05:30
%A M. Junaid Khan
%A Pervez Akhtar
%A M. Yasin
%T CMA an Optimum Beamformer for a Smart Antenna System
%J International Journal of Computer Applications
%@ 0975-8887
%V 5
%N 7
%P 33-40
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper constant modulus algorithm (CMA) and least mean square (LMS), kind of blind and nonblind algorithms used for adaptive beamforming are presented. These algorithms are embedded in smart antenna which calculates optimum weight vector that minimizes the total received power except the power coming from desired direction. The efficiency of CMA and LMS algorithms is compared on the basis of gain versus angle and mean square error (MSE) for mobile communication. Simulation results reveal that both algorithms have high resolution for beam formation. However CMA has good performance to minimize MSE as compared to LMS. Therefore, CMA is found more efficient algorithm to implement in the mobile communication environment to enhance service quality and capacity.

References
  1. LAL. C. GODARA, Senior Member, IEEE, “Applications of Antenna Arrays to Mobile Communications, Part I; Performance Improvement, Feasibility, and System Considerations,” Proceeding of the IEEE, Vol. 85, No. 7, pp. 1031-1060, July 1997.
  2. Alle-Jan van der Veen and Arogyaswami Paulraj, “An Analytical Constant Modulus Algorithm,” IEEE Transactions on Signal Processing, Vol. 44, No. 5, pp. 1-19, May 1996.
  3. LAL. C. GODARA, Senior Member, IEEE, “Applications of Antenna Arrays to Mobile Communications, Part II; Beam-Forming and Directional of Arrival Considerations,” Proceeding of the IEEE, Vol. 85, No. 8, pp. 1195-1245, August 1997.
  4. B. Widrow and S.D. Stearns, Adaptive Signal Processing (Pearson Eduation, Inc., 1985).
  5. Simon Haykin, Adaptive Filter Theory, Fourth edition (Pearson Eduation, Inc., 2002).
  6. T. Ohgane, N. Matsuzawa, T. Shimura, M. Mizuno and H. Sasaoka, “BER Performance of CMA Adaptive Array for High Speed GMSK Mobile Communication – A Description of Measurement in Central Tokyo,” IEEE Trans. Veh. Technol, Vol. 42, pp. 484-490, 1993.
  7. Thomas E. Biedka, “Analysis and Development of Blind Adaptive Beamforming Algorithms” Dissertation Submitted to the Faculty of the Virginia Polytechnic Institute and State University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy in Electrical Engg, pp. 60-62, 17 Oct 2001.
  8. Raed M. Shubair, Mahmoud A. Al-Qutayri and Jassim M. Samhan, “A Setup for the Evaluation of MUSIC and LMS Algorithms for a Smart Antenna System,” Journal of Communications, Vol. 2, No. 4, pp. 71-77, June 2007.
  9. S.F. Shaukat, Mukhtar ul Hassan, R. Farooq, H. U. Saeed and Z. Saleem, “Sequetial Studies of Beamforming Algorithms for Smart Antenna Systems,” World Applied Sciences Journal 6 (6): pp. 754-758, ISSN 1818-4952, 2009.
  10. M. Mizuno and T Ohgane, “Application of Adaptive Array Antennas to Radio Communications,” Electron. Commun. Japan, Vol. 77, pp. 48-59, 1994.
  11. S. C. Swales, M. A. Beach, D. J. Edwards and J. P. McGeehan, “The Performance Enhancement of Multibeam Adaptive Basestation Antennas for Cellular Land Mobile Radio Systems,” IEEE Trans. Veh. Technol, Vol. 39, pp. 56-67, 1990.
  12. S. Anderson, M. Millnert, M. Viberg and B. Wahlberg, “An Adaptive Array for Mobile Communication Systems,” IEEE Trans. Veh. Technol, Vol. 40, pp. 230-236, 1991.
  13. Q. Wu, K. M. Wong, and R. Ho, “Fast Algorithm for Adaptive Beamforming of Cyclic Signals,” Inst. Elect. Eng. Proc.-Radar, Sonar Navigation, Vol. 141, pp. 312-318, 1994.
  14. Q. Wu and K. M. Wong, “Blind Adaptive Beamforming for Cyclostationary Signals,” IEEE Trans. Signal Processing, Vol. 44, pp. 2757-2767, 1996.
  15. B. G. Agee, S. V. Schell and W. A. Gardner, “Spectral Self Coherence Restoral: A New Approach to Blind Adaptive Signal Extraction Using Antenna Arrays,” Proc. IEEE, Vol. 78, pp. 753-767, 1990.
  16. B. Agee, “Blind Separation and Capture of Communication Signals Using a Multitarget Constant Modulus Beamformer,”in Proc. IEEE MILCOM, Bedford, MA, pp. 340-346, 1989.
  17. I. Parra, G. Xu and H. Liu, “Least Square Projective Constant Modulus Approach,” in Proc. IEEE Int. Symp., Personal, Indoor, Mobile Radio Communications, Toronto, Canada, pp. 673-676, 1995.
  18. Md. Bakhar, Dr. Vani R.M and Dr. P. V. Hunagund, “Eigen Structure Based Direction of Arrival Estimation Algorithms for Smart Antenna Systems,” IJCSNS International Journal of Computer Science and Network Security, Vol. 9, No. 11, pp. 96-100, November 2009.
  19. Ram Babu T, and Dr. P Rajesh Kumar, “Blind Equalization Using Constant Modulus Algorithm and Multi-Modulus Algorithm in Wireless Communication System” International Journal of Computer Applications (0975-8887), Volume 1 –No. 3, pp. 50-55, 2010.
  20. Kiranpreet Kaur, Magandeep Kaur, Ruchi Mittal, “Improvement in Capacity and Signal Strength Using LMS Algorithms,” International Journal of Computer Applications (0975 - 8887), Volume 1 – No. 5, pp. 103-107, 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Constant Modulus Algorithm (CMA) Least Mean Square (LMS) Algorithm

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