By Topic

Dynamic quantization for maximum likelihood sequence detection of PAM signaling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Fossorier, M.P.C. ; Dept. of Electr. Eng., Hawaii Univ., Honolulu, HI, USA

Maximum likelihood sequence detection (MLSD) provides optimum detection for intersymbol interference (ISI) channels subject to additive white Gaussian noise (AWGN). This decoding process dynamically searches the most likely path through the intersymbol interference (ISI) channel trellis, using the Viterbi algorithm (VA). In this paper, we exploit the structure of this trellis and, for an M-point pulse amplitude modulation (PAM) constellation, present a new scheme based on dynamic quantization. This scheme becomes extremely efficient for the single memory unit channel 1+f1D, as it achieves optimum MLSD with O(M) computations per decoding step, instead of O(M2) for the VA. Generalization to any finite length channel is also possible and conserves good computational efficiency

Published in:

Communications, IEEE Transactions on  (Volume:44 ,  Issue: 11 )