We compare performance and error propagation of DFE with and without a
d = 1 RLL code, at 2.67 user density and with a single coefficient FI
R phase equalizer. Performance without error propagation is slightly b
etter with d = I in spite of the rate loss, because precursor ISI can
be completely eliminated. We develop a model to estimate the effects o
f error propagation for both d = 0 and d = 1. The model is in good agr
eement with a 20db SNR simulation. For an overall error rate of 10(-6)
, the probability of a burst of length 50 in the decoded data is 10(-1
3) for d = 1 and 10(-8) for d = 0. This large difference is due both t
o the higher code rate and to the larger postcursor cancelation for ed
= 0. In the model, we rigorously compute burst error probabilities us
ing a Markov chain derived from our channel assumptions. We also use t
he model to compute the decay rate of the burst error probability and
to identify the set of infinitely propagating sequences. In the simula
tions, we use random data and a commonly used (1,7) code for DFE17, to
which we added AWGN noise at SNR 20db. Finally, we compare the result
s of the model with the simulations.