Soft output Viterbi algorithm
 | This article provides insufficient context for those unfamiliar with the subject. (October 2010) (Learn how and when to remove this template message) |
The soft output Viterbi algorithm (SOVA) is a variant of the classical Viterbi algorithm.
SOVA differs from the classical Viterbi algorithm in that it uses a modified path metric which takes into account the a priori probabilities of the input symbols, and produces a soft output indicating the reliability of the decision.
The first step in the SOVA is the selection of the survivor path, passing through one unique node at each time instant, t. Since each node has 2 branches converging at it (with one branch being chosen to form the Survivor Path, and the other being discarded), the difference in the branch metrics (or cost) between the chosen and discarded branches indicate the amount of error in the choice.
This cost is accumulated over the entire sliding window (usually equals at least five constraint lengths), to indicate the soft output measure of reliability of the hard bit decision of the Viterbi algorithm.
See also
References
- Error Correction Coding : Mathematical Methods and Algorithms - Todd K Moon (Publisher: Wiley-Interscience (June 6, 2005) ISBN:0-471-64800-0)
- A Viterbi algorithm with soft-decision outputs and its applications, J. Hagenauer, P. Hoeher, Proc. IEEE GLOBECOM, pp. 47.11-47.17, Dallas, TX, Nov 1989.
 |
