Investigation of Beam Forming Algorithms Using Smart Antenna for Modern Wireless Communication
Keywords:
Adaptive beamforming, smartantenna, RLS LMS, NLMSAbstract
: In Recent wireless communications especially for mobile phones the effectiveness of the system depends on how well the signal is received, with signals coming from several service providers and radio users, the wireless channels grow crowded. Enhancing a signal's quality is important under these fictitious circumstances Additionally, the current generation of services, like 5G, will use a higher frequency range and require a broader bandwidth and more channel capacity for high-speed data transfers.
One of the technologies that can improves the wireless communication system is smart antenna with respect to enhancing quality, coverage, and capacity of networks while increasing efficiency.
The biggest issue in a noisy setting is getting the most signal reception in the desired direction. Therefore, Adaptive algorithms contributes a key factor in obtaining the optimum signal quality with improving efficiency.
In this paper we considered uniform linear array with 15 elements and performance can be investigated using adaptive beam forming algorithms Recursive Least Square (RLS), Least Mean Square (LMS) The results of simulations are carried out by using MATLABR2023A.
Our focus is to improves the system efficiency with high gain towards the desired direction without any side lobes.This can be obtained by using the N-LMS algorithm
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References
L. C. Godara, "Application of antenna arrays to mobile communications. II. Beam-forming and direction-of-arrival considerations," Proceedings of the IEEE, vol. 85, pp. 1195-1245, 1997
W. Ali, D. Mohamed, and A. H. Hassan, "Performance analysis of least mean square sample matrix inversion algorithm for smart antenna system," in Antennas and Propagation Conference (LAPC) Loughborough, UK, 2013, pp. 624-629.
Rupal Sahu, Ravi Mohan, Sumit Sharma” Evaluation of Adaptive Beam Forming Algorithm of Smart Antenna” International Journal of Scientific Engineering and Technology, Oct. 2013.
Frank B. Gross, PhD Senior Systems Engineer Argon ST Firfax, Virginia “Smart Antennas for Wireless Communications with mat lab” Copyright © 2005 by The McGraw-Hill Companies, Inc
Chintan S.Jethvaand Dr.R.G.Karandikar “Algorithms of Adaptive Beam Forming for Smart antenna:A comparative study” Print ISBN: 978-1-4799-3063-0 March 2015
Susmita Das, “Smart Antenna Design for Wireless Communication using Adaptive Beam-forming Approach”, TENCON 2008 ,IEEE Region 10 Conference, Nov 2008
Anurag Shivam Prasad,Sandeep Vasudevan Selva Lakshmi R, “Analysis ofAdaptive Algorithms for Digital Beamforming in smart antennas” IEEE International Conference On recent Trends in Information Technology MIT@2011
Vijendra Mishra, Gaurav Chaitanya “Analysis of LMS,RLS and SMI Algorithm on the basis of physical parameters for smart antenna”
C.A. Balanis, Antenna Theory Analysis and De- sign, Wiley-India IInd edition, 2007.
Anandpwar, W. ., Barhate, S. ., Limkar, S. ., Vyawahare, M. ., Ajani, S. N. ., & Borkar, P. . (2023). Significance of Artificial Intelligence in the Production of Effective Output in Power Electronics. International Journal on Recent and Innovation Trends in Computing and Communication, 11(3s), 30–36. https://doi.org/10.17762/ijritcc.v11i3s.6152
Saini, D. J. B. ., & Qureshi, D. I. . (2021). Feature Extraction and Classification-Based Face Recognition Using Deep Learning Architectures. Research Journal of Computer Systems and Engineering, 2(1), 52:57. Retrieved from https://technicaljournals.org/RJCSE/index.php/journal/article/view/23
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