Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array

Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array

Smart antenna technologies are emerging as an innovative way to meet the growing demand for more powerful, cost-effective and highly efficient wireless systems. If this system is implemented successfully, it could significantly improve the performance of wireless systems in terms of data rates, cove...

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Main Author: Vakilian, Vida
Format: Thesis
Language:English
Published: 2008
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
HE Transportation and Communications
Online Access:http://eprints.utm.my/id/eprint/9671/1/VidaVakilianMFKE2008.pdf
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id my-utm-ep.9671
record_format uketd_dc
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
HE Transportation and Communications
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
HE Transportation and Communications
Vakilian, Vida
Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
description Smart antenna technologies are emerging as an innovative way to meet the growing demand for more powerful, cost-effective and highly efficient wireless systems. If this system is implemented successfully, it could significantly improve the performance of wireless systems in terms of data rates, coverage and range. The best near-term application opportunities for smart antennas are wireless local area networks (WLANs), mobile DBS, WiMax, and cellular areas. The application targeted for this research is WiMax. Regardless of the application, hardware implementation of smart antenna is very challenging and complicated. Therefore, our focus is just on the beamforming and sidelobe cancellation for the WiMax downlink transmission. In downlink, we try to form and steer the beam according to the user location. Also, for more antenna radiation pattern optimization, the sidelobe cancellation is performed base on the chebyshev algorithm. In this respect, the system is firstly modeled by MATLAB software. After modeling, the algorithm is implemented in DSP. By using the Hardware- In-Loop facility of DSP, the comparison between hardware implementation and software modeling is performed. The results indicate that the digital beamforming and sidelobe cancellation are successfully implemented. At the next stage of the project, the signal management should be done before transmission to the expansion board. This management is necessary, in order to make data suitable for expansion board. After signal management the channels need to be split into sixteen antenna array elements by a means of FPGA board. To do so, the verilog code is written for programming the FPGA base on the signal which is come from DSP. The simulation results and measurement show that channels separation and synchronization is done successfully. By doing abovementioned procedure, the digital beamforming and sidelobe cancellation are implemented in baseband frequency.
format Thesis
qualification_level Master's degree
author Vakilian, Vida
author_facet Vakilian, Vida
author_sort Vakilian, Vida
title Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
title_short Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
title_full Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
title_fullStr Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
title_full_unstemmed Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
title_sort digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array
granting_institution Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department Faculty of Electrical Engineering
publishDate 2008
url http://eprints.utm.my/id/eprint/9671/1/VidaVakilianMFKE2008.pdf
_version_ 1747814773467119616
spelling my-utm-ep.96712018-07-23T05:36:43Z Digital beamforming implementation of switch-beam smart antenna system by using integrated digital signal processor and field-programmable gate array 2008-05 Vakilian, Vida TK Electrical engineering. Electronics Nuclear engineering HE Transportation and Communications Smart antenna technologies are emerging as an innovative way to meet the growing demand for more powerful, cost-effective and highly efficient wireless systems. If this system is implemented successfully, it could significantly improve the performance of wireless systems in terms of data rates, coverage and range. The best near-term application opportunities for smart antennas are wireless local area networks (WLANs), mobile DBS, WiMax, and cellular areas. The application targeted for this research is WiMax. Regardless of the application, hardware implementation of smart antenna is very challenging and complicated. Therefore, our focus is just on the beamforming and sidelobe cancellation for the WiMax downlink transmission. In downlink, we try to form and steer the beam according to the user location. Also, for more antenna radiation pattern optimization, the sidelobe cancellation is performed base on the chebyshev algorithm. In this respect, the system is firstly modeled by MATLAB software. After modeling, the algorithm is implemented in DSP. By using the Hardware- In-Loop facility of DSP, the comparison between hardware implementation and software modeling is performed. The results indicate that the digital beamforming and sidelobe cancellation are successfully implemented. At the next stage of the project, the signal management should be done before transmission to the expansion board. This management is necessary, in order to make data suitable for expansion board. After signal management the channels need to be split into sixteen antenna array elements by a means of FPGA board. To do so, the verilog code is written for programming the FPGA base on the signal which is come from DSP. The simulation results and measurement show that channels separation and synchronization is done successfully. By doing abovementioned procedure, the digital beamforming and sidelobe cancellation are implemented in baseband frequency. 2008-05 Thesis http://eprints.utm.my/id/eprint/9671/ http://eprints.utm.my/id/eprint/9671/1/VidaVakilianMFKE2008.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering [1] N. Herscovici and chr.Christodoulou “smart antennas.� lEEE Antennas and Propagation Magazine, Vol. 42, No. 3, June 2000. [2] N. Herscovici and chr.Christodoulou “Smart-Antenna Systems for Mobile Communication Networks Part I: Overview and Antenna Design.� IEEE Antenna’s and Propagation Magazine, Vol. 44, No. 3, June 2002. [3] Ramesh Chembil Palat, Dr. Raqibul Mostafa, Dr. Jeffrey H. Reed,�Smart Antennas: A System Level Overview for Software Defined Radios for Creating an API�, SDRF-04-I -0057-V0.00 2004. [4] K. Raith and J. Uddenfeldt, “Capacity of digital cellular TDMA systems,� IEEE Trans. Veh. Technolog,,vol. 40, pp. 323-332, 1991. [5] K. S. Gilhousen, I. M. Jacobs, R. Padovani, A. J. Viterbi, L. A. Weaver, Jr., and C. E. Wheatley 111, “On the capacity of cellular CDMA system,� IEEE Trans. Veh. Technol., vol. 40, pp. 303-312, 1991 [6] S. Sivanand, “On adaptive arrays in mobile communication,� in Proc. IEEE Nut. Telesystems ConJ, Atlanta, GA, 1993, pp. 55-58. [7] R. Janaswamy, Radiowave Propagation and Smart Antennas for Wireless Communications. Kluwer Academic Publishers, 2001. [8] J. L. Butler, “Digital, matrix and intermediate frequency scanning,� in Microwave Scanning Antennas, R. C. Hansen, Ed. Academic Press, 1966, vol. 3, ch. 3. [9] B. Pattan, Robust Modulations Methods and Smart Antennas in Wireless Communications. Prentice Hall PTR, 2000. [10] I. 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II,� Selected Areas in Communications, IEEE Journal on , Volume: 21 , Issue: 5 , June 2003 Pages:681 – 683. [16] A. Paulraj, R. Nabar, and D. Gore, “Introduction to Space-Time Wireless Communications�, Cambridge Univ. Press, 2003. [17] S. U. Pillai “Array Signal Processing.� Springer-Verlag, New York, 1989. [18] W. L. Stutzman and G. A. Thiele, “Antenna Theory and Design.� John Wiley & Sons, New York, 1981. [19] Darren S. Goshi, Yuanxun Wang, and Tatsuo Itoh, “Simulation of Adaptive Array Algorithms for CDMA Systems,� IEEE Transactions on microwave theory and techniques, vol. 52, No. 12, December 2004. [20] G. J. Foschini, G. D. Golden, P. W. Wolnianshy and R. A. Valenzuela, “ Simplified processing for high spectral efficiency wireless communication employing multi-element arrays,� IEEE Journal of Selected Areas in Communications, vol. 17, no. 11, pp. 1841-1852, Nov. 1999. [21] LAL C. Godara., “Application of Antenna Arrays to Mobile Communications, Part II: Beam-Forming and Direction-of-Arrival Considerations,� Selected Areas in Communications, IEEE Trans. vol. 85, No. 8, August 1997. [22] Texas Instruments Incorporated “TMS320C6713B Floating point digital signal processor.� SPRS294B, October 2005, revised June 2006. [23] Spectrum Digital. Inc. “TMS320C6713 DSK Reference Technical� May 2003.

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