VITERBI CO-PROCESSOR
Introduction
13.1.2
MLSE Equalizer
The equalizer implements the Ungerboeck form of an MLSE-based channel equalizer.
Such an equalizer (see Figure 13-2) uses the MLSE algorithm to find the most likely
transmitted sequence over a channel with InterSymbol Interference (ISI).
The equalized data is then fed to a convolutional decoder (also implemented using the
Viterbi algorithm) that may take advantage of soft decision information for the decoding
process, thereby achieving higher Signal-to-Noise Ratio (SNR) values over
hard-decision-only convolutional decoders.
Compute
Channel
Impulse
Response
Input
Compute MF
Data
Coefficients
Matched
Filter
Figure 13-2 Ungerboeck Form of MLSE Channel Equalizer
13-4
Compute
Auto-
correlation
L-Metrics
DSP56305 User's Manual
Hard Decision
MLSE
Equalized Data
MOTOROLA
AA1312