Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms
 |
International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2014 by IJETT Journal | ||
| Volume-17 Number-7 |
||
| Year of Publication : 2014 | ||
| Authors : Somnath Patra, Nisha Nandni, Abhishek Kumar |
||
 10.14445/22315381/IJETT-V17P263 |
Citation
Somnath Patra, Nisha Nandni, Abhishek Kumar Pandey#3,Sujeet Kumar"Study the Behavioral Change in Adaptive Beamforming of Smart Antenna Array Using LMS and RLS Algorithms", International Journal of Engineering Trends and Technology (IJETT), V17(7),310-314 Nov 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
In this paper we presents a brief outline about the adaptive beamforming of smart antenna array system which is consist of an antenna array elements with signal processing ability which is optimized using two distinct adaptive algorithms Least Mean Square (LMS) and Recursive List Square (RLS). The LMS is a gradient based approach. LMS algorithm uses the estimates of gradient vector from the given data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the negative direction of the gradient vector which eventually leads to the minimum MSE. RLS algorithm used to compute the complex weights by its own simulation and also there is no longer necessary to invert a large correlation matrix. The recursive equations allow for easy updates of the inverse correlation matrix. These algorithms have been simulated using MATLAB 7.0.1 (R14) version software in Windows 7 environment. The simulation result shows the better adaptive algorithm through which we can obtain the optimum solution faster for smart antenna array systems.
References
[1] S.Patra, B.Mahanty,”Synthesis of Smart Antenna Array Using Different Adaptive Algorithms”, International Journal of Electronics and Communication Technology, Vol.5, Issue 3, July-Sept 2014, ISSN-2230-7109.
[2] S. Choi and D. Shim (2000), “A Novel Adaptive Beamforming Algorithm for a Smart antenna System in a CDMA Mobile Communication Environment”, IEEE Transactions on Vehicular Technology, Volume 49, No. 5, Sep 2000,pp 1793-1806.
[3] L.Godara, “Application of antenna arrays to mobile communications, Part-II: Beamforming and directional of arrival considerations” IEEE Proceedings, Vol. 85, No.8, pp. 1195-1245, 1997.
[4] C. BALANIS, Antenna Theory- Analysis and design. New York: Wiley, 2011.
[5] Frank B. Gross, Smart Antenna for Wireless Communication. McGraw-Hill Companies, 2005.
[6] Bernard Widrow and Samuel D Streams (2005), Adaptive Signal Processing, Person Education, New Delhi.
[7] Susmita Das,”Smart Antenna Design for Wireless Communication using Adaptive Beamforming approach”, ENCON. 2008. 476-6732, 2009 IEEE.
[8] Ch. Santhi rani, Dr. P.V. Subbaiah and Dr. K. Chennakesava Reddy (2007), “Adaptive Beam forming algorithm for Smart Antenna System in a CDMA Mobile Communication Environment”, Proceedings of the International Conference on Information and Communication Technology (IICT-07),July 26-27, 2007, Dehradun Institute of Technology, Dehradun, pp.897-901.
[9] Oeting, J. 1983.Cellur Mobile Radio- An Emerging Technology, IEEE Communications Magazine, November, pp.10-15.
[10] Won Km S, Sam Ha D & Ho Kim J, Performance of Smart Antenna with Adaptive Combining at Handsets for the CDMA 2000 System (2000).
[11] Suchitra W.Varade, K.D.Kulat “Robust Algorithms for DOA Estimation and Adaptive Beamforming for Smart Antenna Application” ICETET-09.
Keywords
Smart Antenna Array, Beamforming, Adaptive algorithms, Least Mean Square (LMS), Recursive List Square (RLS).