Channel Equalization

The influence of inter‐symbol interference (ISI) can be minimized based on different criteria, resulting in different types of channel equalizers, which are studied in this chapter. A simple methodology is to remove the overlapped portion causing ISI, leading to the technique of zero&...

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Bibliographic Details
Published inWireless Communications pp. 214 - 237
Main Author Zhang, Keith Q. T
Format Book Chapter
LanguageEnglish
Published United Kingdom Wiley 2015
John Wiley & Sons, Incorporated
John Wiley & Sons, Ltd
Edition1
Subjects
channel equalization
decision feedback equalizer
inter‐symbol interference
MMSE linear equalizers
signal‐to‐noise ratio
spectral factorization
zero‐forcing equalizer
Decision feedback equalizers
Power harmonic filters
Dispersion
Receivers
Interference
Signal to noise ratio
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Summary:The influence of inter‐symbol interference (ISI) can be minimized based on different criteria, resulting in different types of channel equalizers, which are studied in this chapter. A simple methodology is to remove the overlapped portion causing ISI, leading to the technique of zero‐forcing equalizer (ZFE). The drawback of ZFE is that its output signal‐to‐noise ratio (SNR) can be very small if the overall channel response has singularities or near‐singularities in its Fourier spectrum. A remedy is the use of an MMSE channel equalizer. The output SNR of ZFE and MMSE equalizers is uniquely determined by the harmonic mean of the channel power spectrum, while its decision feedback equalizer (DFE) counterpart is determined by its geometric mean, revealing an elegant picture of channel equalization. The chapter factorizes a power spectrum for the construction of an equalizer, and shows that spectrum factorization was feasible through some particular examples.
ISBN:9781119978671
111997867X
DOI:10.1002/9781119113263.ch9