APP convolutional decoding with transition-based systematic channel estimation

Linda M. Davis

doi:10.1109/AUSCTW.2006.1625266

APP convolutional decoding with transition-based systematic channel estimation

Linda M. Davis

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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Abstract

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 language	English
Title of host publication	Proceedings of the 7th Australian communications theory workshop (AusCTW 2006)
Editors	Leif W. Hanlen, Sarah J. Johnson, Paul D. Teal
Place of Publication	United States
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	114-119
Number of pages	6
ISBN (Print)	1424402131
DOIs	https://doi.org/10.1109/AUSCTW.2006.1625266
Publication status	Published - 2006
Event	7th Australian communications theory workshop (AusCTW 2006) - Perth, WA Duration: 1 Feb 2006 → 3 Feb 2006

Workshop

Workshop	7th Australian communications theory workshop (AusCTW 2006)
City	Perth, WA
Period	1/02/06 → 3/02/06

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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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10.1109/AUSCTW.2006.1625266

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Cite this

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title = "APP convolutional decoding with transition-based systematic channel estimation",

abstract = "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.",

author = "Davis, \{Linda M.\}",

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{\textquoteright}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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.; 7th Australian communications theory workshop (AusCTW 2006) ; Conference date: 01-02-2006 Through 03-02-2006",

year = "2006",

doi = "10.1109/AUSCTW.2006.1625266",

language = "English",

isbn = "1424402131",

pages = "114--119",

editor = "Hanlen, \{Leif W.\} and Johnson, \{Sarah J.\} and Teal, \{Paul D.\}",

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publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Davis, LM 2006, APP convolutional decoding with transition-based systematic channel estimation. in LW Hanlen, SJ Johnson & PD Teal (eds), Proceedings of the 7th Australian communications theory workshop (AusCTW 2006). Institute of Electrical and Electronics Engineers (IEEE), United States, pp. 114-119, 7th Australian communications theory workshop (AusCTW 2006), Perth, WA, 1/02/06. https://doi.org/10.1109/AUSCTW.2006.1625266

APP convolutional decoding with transition-based systematic channel estimation. / Davis, Linda M.
Proceedings of the 7th Australian communications theory workshop (AusCTW 2006). ed. / Leif W. Hanlen; Sarah J. Johnson; Paul D. Teal. United States: Institute of Electrical and Electronics Engineers (IEEE), 2006. p. 114-119.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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T2 - 7th Australian communications theory workshop (AusCTW 2006)

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APP convolutional decoding with transition-based systematic channel estimation

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