1 research outputs found
Neural Sequence Detector for Digital Equalization
In this paper a new approach to the equalization of digital
transmission channels is introduced and described. The
proposed solution makes use of a fast neural architecture,
coupled with a innovative error functional, and is able to
perform the equalization task in a Viterbi-like fashion
applied to a Decision Feedback architecture for the
purpose of improving the resitance to imperfect
knowledge of the channel and interference. Performance
comparisons with standard techniques for different
channels demonstrate the validity of the proposed
approach, expecially when the data model departs from
assumptions and the computational cost is a critical issue