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13 - Linear Equalization

from Step 4 - The Adaptive Components

Published online by Cambridge University Press:  05 June 2012

C. Richard Johnson, Jr
Affiliation:
Cornell University, New York
William A. Sethares
Affiliation:
University of Wisconsin, Madison
Andrew G. Klein
Affiliation:
Worcester Polytechnic Institute, Massachusetts
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Summary

When all is well in the receiver, there is no interaction between successive symbols; each symbol arrives and is decoded independently of all others. But when symbols interact, when the waveform of one symbol corrupts the value of a nearby symbol, then the received signal becomes distorted. It is difficult to decipher the message from such a received signal. This impairment is called “intersymbol interference” and was discussed in Chapter 11 in terms of non-Nyquist pulse shapes overlapping in time. This chapter considers another source of interference between symbols that is caused by multipath reflections (or frequency-selective dispersion) in the channel.

When there is no intersymbol interference (from a multipath channel, from imperfect pulse shaping, or from imperfect timing), the impulse response of the system from the source to the recovered message has a single nonzero term. The amplitude of this single “spike” depends on the transmission losses, and the delay is determined by the transmission time. When there is intersymbol interference caused by a multipath channel, this single spike is “scattered,” duplicated once for each path in the channel. The number of nonzero terms in the impulse response increases. The channel can be modeled as a finite-impulse-response, linear filter C, and the delay spread is the total time interval during which reflections with significant energy arrive. The idea of the equalizer is to build (another) filter in the receiver that counteracts the effect of the channel. In essence, the equalizer must “unscatter” the impulse response.

Type
Chapter
Information
Software Receiver Design
Build your Own Digital Communication System in Five Easy Steps
, pp. 270 - 302
Publisher: Cambridge University Press
Print publication year: 2011

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References

S. U. H., Qureshi, “Adaptive Equalization,” Proceedings of the IEEE, vol. 73, no. 9, pp. 1349–1387, Sept. 1985.Google Scholar
W. A., Sethares, “The LMS Family,” in Efficient System Identification and Signal Processing Algorithms, Eds. N., Kalouptsidis and S., Theodoridis, Prentice-Hall, 1993.Google Scholar
C. R., Johnson III, Lectures on Adaptive Parameter Estimation, Prentice-Hall, 1988.Google Scholar

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