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Performance Analysis of PAPR and LS Estimation in OFDM Systems

  • Khan, Latif Ullah (Department of Electrical Engineering, University of Engineering & Technology)
  • 투고 : 2013.11.22
  • 심사 : 2014.03.20
  • 발행 : 2014.06.30

초록

The inherent feature of the highly efficient spectrum usage has made Orthogonal Frequency Division Multiplexing (OFDM) preferable for Communication Standards. This study evaluated the performance of a Least Square (LS) estimator for a comb-type pilot insertion scheme over a fast fading Rayleigh channel. A High Peak-to-Average Power Ratio (PAPR) is one of the major downsides of the OFDM. The effects of an increase in the number of subcarriers on PAPR and the performance of the LS Estimator were studied. Increasing the number of subcarriers while keeping the pilots overhead constant resulted in improved performance of the LS estimator but the PAPR increased with increasing number of subcarriers. Therefore some trade-off between the number of subcarriers and the performance of the OFDM system is needed. The Mean Square Error (MSE) expression was also derived for the LS estimator in the case of a comb-type pilot arrangement. The MSE expression clearly explains the effects of the number of subcarriers on the performance of the LS estimator.

키워드

참고문헌

  1. J. Armstrong, "Tutorial on optical OFDM," International Conference on Transparent Optical Networks (ICTON), 2012 14th, Coventry, UK, pp.1,1, 2-5 July 2012.
  2. A. B. Narasimhamurthy, M. K. Banavar and C. Tepedeleniogly, OFDM Systems for Wireless Communications, Morgan and Claypool publishers, 2010.
  3. L. U. Khan, M. I. Babar, Z. Sabir, "Robust modified MMSE estimator for comb-type channel estimation in OFDM systems," 2013 15th International Conference onAdvanced Communication Technology (ICACT), PyeongChang, South Korea, pp.924,928, 27-30 Jan. 2013.
  4. Z. Yang, W. Bai and Z. Liu, "A Decision-Aided Residual ISI Cancellation Algorithm for OFDM Systems," 2006 8th International Conference on Signal Processing, Beijing, pp. 16-20, 2006.
  5. Z. Sabir, S. A. Rehman Yousaf, M. I. Babar and M. A. Wahla, "Improved joint ICI cancellation and error correction for OFDM system,"in the Proceedings of 2011 International Conference on Electronic Commerce, Web Applications and Communications. ed. by,1: 1-11, 2011.
  6. A. Aggarwal, P. Kapadia, Y. N. Trivedi, "PAPR Reduction in OFDM Systems: A Simple Approach Based on Clipping and Differential Scaling," 2011 International Conference on Devices and Communications (ICDeCom), Mesra, India, pp.1,5, 24-25 Feb. 2011.
  7. Yushi Shen and Ed Martinez, 2008. Channel Estimation in OFDM Systems. Free scale Semiconductor, AN3059 Inc. 2006.
  8. Z. Sabir, M. A. Wahla and M. I. Babar, OFDM, Turbo Codes and Improved Channel Estimation-A Magical Combination, VDM Verilog Publishers, Germany, 2011.
  9. S. Coleri, M. Ergen, A. Puri, A.Bahai, "Channel estimation techniques based on pilot arrangement in OFDM systems," IEEE Transactions on Broadcasting , vol.48, no.3, pp.223,229, Sep 2002. https://doi.org/10.1109/TBC.2002.804034
  10. J. Ma, H. Yu, S. Liu, "The MMSE Channel Estimation Based on DFT for OFDM System," 5th International Conference on Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09., pp.1,4, 24-26 Sept. 2009.
  11. H. Mahmoud, A. Mousa, R. Saleem, "Kalman filter channel estimation based on Comb-type pilots for OFDM system in time and frequency -selective fading environments,"in the proceedings of International Conference on Communications, Computers and Applications.pp:59-64, Mosharaka, 2011.
  12. G. Ren, H. Zhang, Y. Chang and H. Zhang, "A Self Companding Transform to Reduce Peak-to-Average Power Ratio in OFDM Based WLANs," 2006 International Conference on Communications, Circuits and Systems Proceedings,pp.1142,1146, 25-28 June 2006.
  13. L.J. Cimini, N.R. Sollenberger, "Peak-to-average power ratio reduction of an OFDM signal using partial transmit sequences," 1999 IEEE International Conference on Communications, pp.511,515 vol.1, 1999.
  14. R.W. Bauml, R. F. H. Fischer, J.B. Huber, "Reducing the peak-to-average power ratio of multicarrier modulation by selected mapping," Electronics Letters, vol.32, no.22, pp.2056,2057, 24 Oct 1996.
  15. H. G. Ryu, Byoung-Ii Jin; In-Bae Kim, "PAPR reduction using soft clipping and ACI rejection in OFDM system," IEEE Transactions on Consumer Electronics, vol.48, no.1, pp.17,22, Feb 2002.
  16. Y. Wang, J. Ge, L. Wang, J. Li, B. Ai, "Nonlinear Companding Transform for Reduction of Peak-to-Average Power Ratio in OFDM Systems," IEEE Transactions on Broadcasting, vol.59, no.2, pp.369,375, June 2013.
  17. Z. Yang, H. Fang, C. Pan, "ACE with frame interleaving scheme to reduce peak-to-average power ratio in OFDM systems," IEEE Transactions on Broadcasting, vol.51, no.4, pp.571,575, Dec. 2005.
  18. S. T. Kay,Fundamentals of Statistical Signal Processing. Volume I: Estimation Theory. New Jersey: Prentice-Hall, 1993.
  19. S. Ohno, G.B. Giannakis , "Optimal training and redundant precoding for block transmissions with application to wireless OFDM," 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01)., pp.2389,2392 vol.4, 2001.
  20. M. Hsieh, C. Wei, "Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels," IEEE Transactions on Consumer Electronics, vol.44, no.1, pp.217,225, Feb 1998.
  21. L.J. Cimini, "Analysis and Simulation of a Digital Mobile Channel Using Orthogonal Frequency Division Multiplexing," IEEE Transactions on Communications, vol.33, no.7, pp.665,675, Jul 1985.