Comparative Studies of LMS and NLMS Algorithm for Adaptive Beam Forming System

Authors

  • Sonia Hokam  Department of ETC, Rajshree Mulak College of Engineering, Nagpur, Maharashtra, India
  • Kirti Mundale  Department of ETC, Rajshree Mulak College of Engineering, Nagpur, Maharashtra, India
  • Khushbu Jambulkar  Department of ETC, Rajshree Mulak College of Engineering, Nagpur, Maharashtra, India
  • Yogita Khandar  Department of ETC, Rajshree Mulak College of Engineering, Nagpur, Maharashtra, India

Keywords:

Beamforming, DOA, LMS, NLMS algorithm.

Abstract

Smart antennas have been considered to be one of the most demanding communication technologies. It adapted as most demanding technology because of high-bit rate or high quality in broadband commercial wireless communication. Then most elementary solution would be to increase bandwidth; however, this becomes ever more challenging as the electromagnetic spectrum is becoming increasingly congested. Smart antenna systems provide opportunities for higher system capacity and improved quality of service. Direction-of-arrival (DOA) estimation is based on the LMS and NLMS algorithm for identifying the directions of the source signals incident on the sensor array comprising the smart antenna system. . This is done through smart-antenna arrays and the associated adaptive beamforming algorithms. Adaptive beam forming is achieved using this algorithm for directing the main beam towards the desired source signals and generating deep nulls in the directions of interfering signals. It has been found that NLMS performs better in many respects than LMS and so we propose NLMS to be used by mobile companies when they will use smart antenna. Our comparison and findings were simulated using MATLAB.

References

  1. Carl B. Dietrich, Jr., Warren L. Stutzman, Byung-Ki Kim, and Kai Dietze, “Smart Antennas in Wireless Communications: Base-Station Diversity and Handset Beamforming”, IEEE Antennas and Propagation Magazine, Vol. 42, No. 5, October.
  2. Salvatore Bellofiore, Jeffrey Foutz, Constantine A. Balanis, and Andreas S. Spanias. “Smart-Antenna System for Mobile Communication Networks Part 2: Beamforming and Network Throughput”, IEEE Antenna's and Propagation Magazine, Vol. 44, NO. 4, August 2002.
  3. Bellofiore, S.; Balanis, C.A.; Foutz, J.; Spanias, A.S.; Smart-antenna systems for mobile communication networks. Part I. Overview    and antenna design Volume 44, Issue 3, and Page: 145 – 154 Jun 2002.
  4. M.Lakshmu naidu and L.Rambabu, “Smart Antenna system design using adaptive beamforming algorithms to minimize Noise,” IJSETR, Volume 4, Issue 7,pp 2322-2325, 2015. 
  5. L. Yun-hui a n d Y. Yu-hang, ―A modified multitarget adaptive array algorithm for wireless CDMA system‖, Journal Zhejiang Univ SCI, Vol. 5, No. 11, pp. 1418-1423, 2004.

Downloads

Published

2016-02-08

Issue

Section

Research Articles

How to Cite

[1]
Sonia Hokam, Kirti Mundale, Khushbu Jambulkar, Yogita Khandar, " Comparative Studies of LMS and NLMS Algorithm for Adaptive Beam Forming System, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.290-292, January-February-2016.