Publications – Details
MAP Channel Decoding by exploiting Multilevel Source A Priori Knowledge
- Authors:
- Stefan Heinen, Axel Geiler, and Peter Vary
- Book Title:
- ITG-Fachtagung Codierung für Quelle, Kanal und Übertragung
- Venue:
- Aachen, Germany
- Event Date:
- 0.-0.3.1998
- Organization:
- ITG
- Date:
- Mar. 1998
- Pages:
- 89–94
- Language:
- English
Abstract
In digital transmission systems source encoders are used to remove redundancy from the source's output data in order to save transmission bandwidth. As the compressed data is sensitive against transmission errors channel encoding is used to perform forward error correction. For practical reasons, source coding schemes produce multilevel parameters with nonzero residual redundancy which manifests itself in a nonuniform p.d.f. of a parameter and/or in the correlation of subsequent parameter values. The objective of this paper is to derive methods to exploit multilevel a priori knowledge within the detection process of
channel decoding. Joint a priori probabilities of bit groups are taken into consideration within the path metrics of the Viterbi algorithm.
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