Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 86 - Number 5
Year of Publication: 2014
M. Kamaraju
K. Ramakrishna
K. Ramanjaneyulu

M Kamaraju, K Ramakrishna and K Ramanjaneyulu. Article: A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System. International Journal of Computer Applications 86(5):27-32, January 2014. Full text available. BibTeX

	author = {M. Kamaraju and K. Ramakrishna and K. Ramanjaneyulu},
	title = {Article: A Novel Adaptive Beam forming RLMS Algorithm for Smart Antenna System},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {86},
	number = {5},
	pages = {27-32},
	month = {January},
	note = {Full text available}


The smart antenna is a technology and has been applied to the cellular and mobile communication system. It is a combination of multiple antenna elements with a signal processing capability to optimize its radiation and/or reception pattern automatically change in response to the signal environment. The core of smart antenna is the selection of smart algorithms in adaptive array. In this paper, RLMS based adaptive beam forming algorithm is used to improve the performance of the cellular and mobile communication system. Using adaptive beam forming algorithm, the weights/coefficients of antenna arrays are adjusted to form adaptive beam with the required characteristics to track corresponding users automatically and at the same time to minimize interference arising from other users by introducing nulls in their directions. Recursive Least Mean Square (RLMS) algorithm provides a comprehensive and detailed treatment of the signal model used for beam forming. The performance of the RLMS algorithm in the presence of Multi-path effects and multiple users is analyzed using Software simulations. In the proposed method, mean square error is reduced and Convergence is improved in compared with LMS algorithm based method.


  • K. R. ShankarKumar* and T. Gunasekaran**"Performance Analysis of Adaptive Beam forming Algorithms for Microstrip Smart Antennas"Technical -International Froehlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  • Hemanth kumar naik. B*, B. V. N. R Siva Kumar**, Bharat Kumar. A*** "performance of adaptive beam forming Techniques in smart antenna" International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 3, May-Jun 2012, PP 1333-1336 13.
  • Prof. B. G. Hogade*,Ms. Jyoti Chougale-Patil**,Dr. Shrikant K. Bodhe*** "Analysis of Improved and Traditional LMS Beam forming Algorithm for Smart Antenna" International Journal of Engineering Research and Applications (IJERA) Vol. 2, Issue 3, May-Jun 2012, PP. 1816-1820
  • D. B. Salunke*, R. S. Kawitkar** "Analysis of LMS, NLMS and MUSIC Algorithms for Adaptive Array Antenna System" International Journal of Engineering and Advanced Technology (IJEAT), Volume-2, Issue-3 February 2013, PP 130-133
  • Muhammad Salman Razzaq* and Noor M. Khan** "performance comparison of Adaptive beam forming algorithms for smart antenna systems" ISSN 1818-4952 World applied sciences journal 11 (7) IDOSI Publications, 2010 PP 775-785.
  • G. V. S. Karthik1*, Md. Zia Ur Rahman**, T. *** "Algorithm for steering Smart Antennas: An Application to Wireless Communications" International Journal of Research and Reviews in Wireless Communications (IJRRWC) Vol. 1, No. 3, September 2011, PP-37-42.
  • Jian-wu zhang* "The adaptive algorithms of the smart antenna system in future systems" journal of IEEE Publications 0-7803-8842-9/05/S$20. 00 2005 PP 347-350.
  • Text book "Adaptive Filter Theory" Simon haykin and Thomas kailath (series editor)
  • G. S. N. Raju, "Antennas and wave propagation", Pearson education, 2006.