Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Performance Comparison of Blind Equalization Algorithms for Wireless Communication

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 85 - Number 13
Year of Publication: 2014
K Suthendran
T Arivoli

K Suthendran and T Arivoli. Article: Performance Comparison of Blind Equalization Algorithms for Wireless Communication. International Journal of Computer Applications 85(13):1-6, January 2014. Full text available. BibTeX

	author = {K Suthendran and T Arivoli},
	title = {Article: Performance Comparison of Blind Equalization Algorithms for Wireless Communication},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {85},
	number = {13},
	pages = {1-6},
	month = {January},
	note = {Full text available}


Adaptive equalization is an accepted method to mitigate the Inter-Symbol Interference (ISI) in wireless communication. Frequently, adaptive algorithm must needs transmission of well-known training sequence to track the time varying characteristics of the channel and hence make the most of superfluous bandwidth. It is also not viable to have training sequences in all types of transmissions (e. g. non-cooperative environment). Blind algorithm is a concept used to track the time varying characteristics of the channel in the deficiency of training sequence. Nevertheless, it leads to slow convergence. In this paper, the performance of Sato algorithm and Godard based blind algorithm is compared for PAM signal.


  • Yoichi Sato, "A Method of Self-Recovering Equalization for Multilevel Amplitude-Modulation Systems", IEEE Transactions on Communications, pp. 679-682, 1975.
  • Dominique N. Godard, "Self-Recovering Equalization and Carrier Tracking in Two Dimensional Data Communication Systems", IEEE Transactions on Communications,vol. com-28, No. 11, pp. 1867-1875, 1980.
  • M. Hodges, "The GSM Radio Interface", British Telecom Technological Journal, vol. 8, no. 1, pp. 31-43, 1990.
  • S. Guo Yecai, He Longqing and Zhang Yanping, "Design and Implementation of Adaptive Equalizer Based on FPGA", The Eighth International Conference on Electronic Measurement and Instruments (ICEMI,) pp. 790-794, 2007.
  • Rappaport Theodore S. Wireless communications: principles and practice, 2nd ed. , Pearson Education, India, 2010.
  • Kil Nam Oh and Jae Hong Park, "Property Restoral Approach to Blind Equalization of Digital Transmission Channels", IEEE Transactions on Consumer Electronics, vol. 43, no. 3, August 1997.
  • Ye Li and Zhi Ding, "Convergence Analysis of Finite Length Blind Adaptive Equalizers" IEEE Transactions on Signal Processing, vol. 43, no. 9, pp. 2120-2129, September 1995.
  • S. U. H. Qureshi, "Adaptive Equalization", in proc. IEEE , vol. 73, pp. 1349-1387, September1985.
  • David Smalley," Equalization Concepts: A Tutorial", Application Report, Atlanta Regional Technology Centre, SPRA140, October 1994.
  • A. Benveniste and M. Goursat, "Blind equalizer. " IEEE Transactions on Communications,vol. COM-32, pp. 871-883, Aug. 1984.
  • K. Suthendran, V. R. S. Mani, and V. Vijayarengan, "Design of Blind Equalizer," in Proc. NATCON'06, paper 43, Pp. 206-212, 2006.
  • David Falconer, "History of equalization 1860-1980" IEEE Communications magazine, Pp 42-50, October 2011.
  • Xue Wei, Yang Xiaoniu and Zhang Zhaoyang, " A Variable step size Blind equalization algorithm for QAM signals", in Proc. IEEE ICMMT,Pp. 1801-1804, 2010.
  • Yuan Gao and Xinyun Qiu, "A new variable step size CMA blind equalization algorithm" ,24th IEEE Chinese control and decision conference, Pp. 315-317, 2012.
  • K. Suthendran, T. Arivoli, "Performance comparison of adaptive and blind equalization algorithms for wireless communication," Bonfring International journal of research in communication engineering, vol 3, Pp. 1-6, March 2013.