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604 Chapter 11 APPLICATIONS IN ADAPTIVE FILTERING<br />

FIGURE 11.5<br />

Application of adaptive filtering to adaptive channel equalization<br />

transmission. In telephone channels, filters are used throughout the system<br />

to separate signals in different frequency bands. These filters cause<br />

amplitude and phase distortion. The adaptive equalizer is basically an<br />

adaptive FIR filter with coefficients that are adjusted by means of the<br />

LMS algorithm to correct for the channel distortion.<br />

A block diagram showing the basic elements of a modem transmitting<br />

data over a channel is given in Figure 11.5. Initially, the equalizer<br />

coefficients are adjusted by transmitting a short training sequence, usually<br />

less than one second in duration. After the short training period,<br />

the transmitter begins to transmit the data sequence {a(n)}. Totrack<br />

the possible slow time variations in the channel, the equalizer coefficients<br />

must continue to be adjusted in an adaptive manner while receiving data.<br />

This is usually accomplished, as illustrated in Figure 11.5, by treating<br />

the decisions at the output of the decision device as correct and by using<br />

the decisions in place of the reference {d(n)} to generate the error signal.<br />

This approach works quite well when decision errors occur infrequently,<br />

such as less than one error in 100 data symbols. The occasional decision<br />

errors cause only a small misadjustment in the equalizer coefficients.<br />

11.5.1 PROJECT 11.4: ADAPTIVE CHANNEL EQUALIZATION<br />

The objective of this project is to investigate the performance of an adaptive<br />

equalizer for data transmission over a channel that causes intersymbol<br />

interference. The basic configuration of the system to be simulated<br />

is shown in Figure 11.6. As we observe, five basic modules are required.<br />

Note that we have avoided carrier modulation and demodulation, which<br />

is required in a telephone channel modem. This is done to simplify the<br />

simulation program. However, all processing involves complex arithmetic<br />

operations.<br />

Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).<br />

Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

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