APP convolutional decoding with transition-based systematic channel estimation

Linda M. Davis

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

11 Downloads (Pure)


This paper presents a novel formulation for a posteriori probability (APP) decoding of systematic convolutional codes. The convolutional encoder and decoder are constructed to enable transition-based channel estimates to be embedded into the APP calculations. The result is joint channel estimation and decoding. The new decoder is targeted to systematic codes in flat-fading environments although the formulation may be extended for frequency-selective channels or even non-systematic codes with the penalty of additional complexity. In contrast to per-survivor processing for Viterbi decoding, the approach here does not rely on tentative decisions from survivor paths, channel estimation filter coefficients can be pre-calculated, and the APP decoder delivers soft decisions.
Original languageEnglish
Title of host publicationProceedings of the 7th Australian communications theory workshop (AusCTW 2006)
EditorsLeif W. Hanlen, Sarah J. Johnson, Paul D. Teal
Place of PublicationUnited States
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Print)1424402131
Publication statusPublished - 2006
Event7th Australian communications theory workshop (AusCTW 2006) - Perth, WA
Duration: 1 Feb 20063 Feb 2006


Workshop7th Australian communications theory workshop (AusCTW 2006)
CityPerth, WA

Bibliographical note

Copyright 2006 IEEE. Reprinted from Proceedings of the 7th Australian communications theory workshop (AusCTW 2006). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Fingerprint Dive into the research topics of 'APP convolutional decoding with transition-based systematic channel estimation'. Together they form a unique fingerprint.

Cite this