Comparison among Different Beam Forming Algorithms used in Smart Antenna System for 3G+ Mobile Communications

Islam, Md. Rezwanul; Wahiduzzaman, Md.; Tanmoy, M. M. Reazul Haque

IUT Repository Home
→
Electrical and Electronics Engineering (EEE)
→
Thesis
→
Undergraduate
→
2012
→
View Item

dc.contributor.author	Islam, Md. Rezwanul
dc.contributor.author	Wahiduzzaman, Md.
dc.contributor.author	Tanmoy, M. M. Reazul Haque
dc.date.accessioned	2021-12-21T09:54:02Z
dc.date.available	2021-12-21T09:54:02Z
dc.date.issued	2012-11-15
dc.identifier.citation	[1] C. A. Balanis, Antenna Theory: Analysis and Design, 3rd ed. New York: Wiley, 2005 [2] Kraus, J., and R. Marhefka, Antennas for All Applications, 3d ed., McGraw- Hill, New York, 2002. [3] “Smart antenna systems,” International Engineering Consortium. [4] Elliot, R. S., Antenna Theory and Design, Revised edition, Wiley, New York, NY,2003. [5] Gross, F. B. Smart Antennas For Wireless Communication. McGraw-Hill. [6] C.A.Balanis, P.Ioannides, Introduction to Smart Antennas [7] L.C. Godara, Application of Antenna Arrays to Mobile Communications, Part II: Beamforming and Direction- of-Arrival Considerations”, Proceedings of IEEE, v.85, N.8, pp. 1195-1245, 1997. [8] L.C. Godara ,Smart Antennas,CRC Press,2005 [9] J.C. Liberti, T.S. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third-Generation CDMA Applications, Prentice Hall, NJ, 1999. [10] Ivica S teva novi´c, Anja Skrivervik and Juan R . Mosig, Smart Antenna Systems for Mobile Communications, ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE , 2003 [11] A. J. Paulraj and C. B. Papadias. Space-Time Processing for Wireless Communications. IEEE Signal Processing Magazine, pages 49–83, November 1997. [12] A. J. Paulraj, D. Gesbert, and C. Papadias. Encyclopedia for Electrical Engineering, chapter Smart Antennas for Mobile Communications. John Wiley Publishing Co., 2000.	en_US
dc.identifier.uri	http://hdl.handle.net/123456789/1230
dc.description	Supervised by Prof. Dr. Md. Ruhul Amin Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur.	en_US
dc.description.abstract	Smart antenna manipulates the impinging signals on various antenna elements through array processing so that the main lobe is formed towards the desired direction and nulls are placed towards the interference or unwanted directions. Direction of Arrival (DOA) estimation is an important part of direction of arrival based beam forming. The direction of arrival algorithm computes the angle of arrival of all impinging signals. A systemic study of smart antenna system and comparison of the performance of the Bartlett and MUltiple SIgnal Classification(MUSIC) DOA algorithms along with different non blind beam forming algorithms through simulation have been extensively analyzed in this thesis work. Our comparative analysis shows that MUSIC algorithm is highly accurate and stable and provides high angular resolutions compared to Bartlett algorithm. So MUSIC algorithm can be widely used in mobile communication to estimate the DOA of arriving signals. Among LMS, SMI, RLS beam forming algorithms RLS algorithm is the fastest to converge the weights through least computational complexity.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	Comparison among Different Beam Forming Algorithms used in Smart Antenna System for 3G+ Mobile Communications	en_US
dc.type	Thesis	en_US