Maximum likelihood sequence detection for intersymbol interference channels: a new upper bound on error probability

Authors:
Sergio Verdú
Affiliations:
Princeton Univ., Princeton, NJ
Venue:
IEEE Transactions on Information Theory
Year:
1987

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Abstract

Maximum likelihood sequence detection of digital signaling subject to intersymbol interference and additive white Gaussian noise is considered. A new approach to the error probability analysis results in an upper bound which is tighter than the Forney bound. In addition, in the case of infinite-length intersymbol interference a locally convergent bound is shown to hold under fairly general assumptions on the signal autocorrelation.