Pre-processing of convolutional codes for reducing decoding power consumption

Wei Shao, Linda Brackenbury

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

    Abstract

    This paper presents a new pre-processing approach for convolutional codes that can provide the adaptive capability to a standard Viterbi decoder. By identifying and generating the decoded data from the zero Hamming distance path, all computations in the Viterbi decoder can be avoided. This makes it possible to stop the Viterbi decoder in real time as long as no error occurs in the received code words; the Viterbi decoder is restarted to correct errors otherwise. With this approach, significant power, i.e. 97% of a standard Viterbi decoder power dissipation, can be saved when the Eb/No is as low as 13dB. ©2008 IEEE.
    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings|ICASSP IEEE Int Conf Acoust Speech Signal Process Proc
    PublisherIEEE
    Pages2957-2960
    Number of pages3
    ISBN (Print)1424414849, 9781424414840
    DOIs
    Publication statusPublished - 2008
    Event2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP - Las Vegas, NV
    Duration: 1 Jul 2008 → …

    Conference

    Conference2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP
    CityLas Vegas, NV
    Period1/07/08 → …

    Keywords

    • Adaptive decoding algorithm
    • Convolutional coding
    • Pre-decoding

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