similarly serve to describe mitigation methods that can be used to ameliorate the
effects of fading. The mitigation approaches to be used when designing a system
should be considered in two basic steps: first, choose the type of mitigation to re-
duce or remove any distortion degradation; next, choose a diversity type that can
best approach AWGN system performance.
15.5.1 Mitigation to Combat Frequency-Selective Distortion
Equalization can mitigate the effects of channel-induced ISI that is brought on by
frequency-selective fading. That is, it can help modify system performance de-
scribed by the curve that is "awful" in Figure 15.17 to the one that is merely "bad."
The process of equalizing for mitigating ISI effects involves using methods to
gather the dispersed symbol energy back into its original time interval. In effect, an
equalizer is an inverse filter of the channel. If the channel is frequency selective,
the equalizer enhances the frequency components with small amplitudes and atten-
uates those with large amplitudes. The goal is for the combination of channel and
equalizer filter to provide a flat composite received frequency response and linear
phase [30]. Because in a mobile system the channel response varies with time, the
equalizer filter must also change or adapt to the time-varying channel characteris-
tics. Such equalizer filters are therefore adaptive devices that accomplish more
than distortion mitigation; they also provide diversity. Since distortion mitigation is achieved by gathering the dispersed symbol's energy back into the symbol's origi-
achieved by gathering the dispersed symbol's energy back into the symbol's origi-
nal time interval (so that it doesn't hamper the detection of other symbols). the
equalizer is simultaneously providing the receiver with symbol energy that would
otherwise be lost
The decision feedback equalizer (DFE) has a feedforward section that is a
linear transversal filter POI whose stage length and tap weights are selected to co-
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