Skip to main content Accessibility help
×
Hostname: page-component-77c89778f8-gq7q9 Total loading time: 0 Render date: 2024-07-20T04:16:25.428Z Has data issue: false hasContentIssue false

9 - Intersymbol interference and equalization

Published online by Cambridge University Press:  05 June 2012

Tri T. Ha
Affiliation:
Naval Postgraduate School, Monterey, California
Get access

Summary

Introduction

Intersymbol interference (ISI) is a phenomenon in which the energy of a symbol spills over into succeeding symbols causing interference. Tight filtering at the transmitter and receiver and/or channel distortion can cause the waveform that represents a symbol to spread out into succeeding symbol periods. In a terrestrial wireless channel, a signal can travel from the transmitter to the receiver via multiple delayed paths (echoes). If the delays between paths are large compared to a symbol period, the energy carried by these echoes can cause significant ISI to the succeeding symbols. In this chapter, we study the Nyquist criterion for zero ISI and provide the design of an optimum demodulator that can achieve both maximum output signal-to-noise ratio and zero ISI. We then study linear equalizers, such as the zero-forcing linear equalizer (ZF-LE), and the mean-square error linear equalizer (MSE-LE), and nonlinear equalizers, such as the zero-forcing decision-feedback equalizer (ZF-DFE) and the mean-square error decision-feedback equalizer (MSE-DFE). Both nonlinear equalizers perform better than their linear counterparts. We then study the maximum likelihood sequence detection (MLSD), which is the optimum nonlinear equalization technique. Finally, the fractionally spaced equalizer is introduced to solve the timing error problem in the previous equalizers.

Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Blahut, R. E., Digital Transmission of Information, New York: Addison-Wesley, 1990.Google Scholar
Proakis, J. G., Digital Communications, 5th edition, New York: McGraw-Hill, 2008.Google Scholar
Pursley, M. B., Introduction to Digital Communications, Upper Saddle River, NJ: Pearson Prentice Hall, 2005.Google Scholar
Barry, J. R., Lee, E. A., and Messerschmitt, D. G., Digital Communication, 3rd edition, London: Kluwer Academic Publishers, 2004.CrossRefGoogle Scholar
Gitlin, R. D., Hayes, J. F., and Weinstein, S. B., Data Communications Principles, London: Plenum Press, 1992.CrossRefGoogle Scholar
Haykin, S., Adaptive Filter Theory, London: Prentice Hall, 1996.Google Scholar
Alteka, S. A. and Beaulieu, N. C., “Upper bounds on the error probability of decision feedback equalization,” IEEE Trans. Inform. Theory, Vol. 39, pp. 145–156, 1993.CrossRefGoogle Scholar
Belfiore, C. A. and Park, J. H., “Decision feedback equalization,” Proc. IEEE, Vol. 67, No. 8, pp. 1143–1156, 1979.CrossRefGoogle Scholar
Forney, Jr G. D.., “Maximum likelihood sequence estimation of digital sequences in the presence of intersymbol interference,” IEEE Trans. Inform. Theory, Vol. 18, pp. 363–378, 1972.CrossRefGoogle Scholar
Forney, Jr G. D.., “The Viterbi algorithm,” Proc. IEEE, Vol. 61, No. 3, pp. 268–278, 1973.CrossRefGoogle Scholar
Lucky, R. W., “Automatic equalization for digital communications,” Bell Syst. Tech. J., Vol. 44, pp. 547–588, 1965.CrossRefGoogle Scholar
Lucky, R. W., “Techniques for adaptive equalization of digital communication,” Bell Syst. Tech. J., Vol. 45, pp. 255–286, 1966.CrossRefGoogle Scholar
Lucky, R. W., Salz, J., and Weldon, Jr E. J.., Principles of Data Communication, New York: McGraw-Hill, 1968.Google Scholar
Nyquist, H., “Certain topics in telegraph transmission theory,” AIEE Trans., Vol. 47, pp. 617–644, 1928.Google Scholar
Papoulis, A., Probability, Random Variables, and Stochastic Processes, 3rd edition, New York: McGraw-Hill, 1968.Google Scholar
Qureshi, S., “Adaptive equalization,” Proc. IEEE, Vol. 53, No. 9, pp. 1349–1387, 1985.CrossRefGoogle Scholar
Ungerboeck, G., “Fractional tap-spacing equalizer and consequences for clock recovery in data modems,” IEEE Trans. Commun., Vol. 24, No. 8, pp. 856–864, 1976.CrossRefGoogle Scholar
Verdu, S., “Maximum likelihood sequence detection of intersymbol interference channels: a new upper bound on error probability,” IEEE Trans. Inform. Theory, vol. 33, pp. 62–68, 1987.CrossRefGoogle Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Intersymbol interference and equalization
  • Tri T. Ha, Naval Postgraduate School, Monterey, California
  • Book: Theory and Design of Digital Communication Systems
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511778681.010
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Intersymbol interference and equalization
  • Tri T. Ha, Naval Postgraduate School, Monterey, California
  • Book: Theory and Design of Digital Communication Systems
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511778681.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Intersymbol interference and equalization
  • Tri T. Ha, Naval Postgraduate School, Monterey, California
  • Book: Theory and Design of Digital Communication Systems
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511778681.010
Available formats
×