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

Simple item page
dc.contributor.authorIslam, Md. Rezwanul
dc.contributor.authorWahiduzzaman, Md.
dc.contributor.authorTanmoy, M. M. Reazul Haque
dc.date.accessioned2021-12-21T09:54:02Z
dc.date.available2021-12-21T09:54:02Z
dc.date.issued2012-11-15
dc.descriptionSupervised by Prof. Dr. Md. Ruhul Amin Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur.en_US
dc.description.abstractSmart 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.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.urihttp://hdl.handle.net/123456789/1230
dc.language.isoenen_US
dc.publisherDepartment of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladeshen_US
dc.titleComparison among Different Beam Forming Algorithms used in Smart Antenna System for 3G+ Mobile Communicationsen_US
dc.typeThesisen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
15 Comparison among Different Beam Forming Algorithms used in Smart Antenna System for 3G+ Mobile Communications.pdf
Size:
993.82 KB
Format:
Adobe Portable Document Format
Description:
Download

License bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

2012