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Optimum Non-iterative Turbo-Decoding

Optimum Non-iterative Turbo-Decoding
Optimum Non-iterative Turbo-Decoding
By observing the structure of the decoder’s trellis a new, non-iterative turbo-decoder based on a super-trellis structure is proposed, which exhibits the same decoding complexity as a conventional convolutional decoder possessing an identical number of trellis states. For the investigated half-rate, memory length-two code the proposed algorithm requires about 0.5dB lower Gaussian channel signal-tp-noise ratio (SNR) than the Maximum A Posteriori (MAP) algorithm using 16 iterations.
714-718
Breiling, M
1c41f07d-4383-42ec-b505-41812c81a6bc
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1
Breiling, M
1c41f07d-4383-42ec-b505-41812c81a6bc
Hanzo, L
66e7266f-3066-4fc0-8391-e000acce71a1

Breiling, M and Hanzo, L (1997) Optimum Non-iterative Turbo-Decoding. of PIMRC 1997, Helsinki, Finland. 01 - 04 Sep 1997. pp. 714-718 .

Record type: Conference or Workshop Item (Other)

Abstract

By observing the structure of the decoder’s trellis a new, non-iterative turbo-decoder based on a super-trellis structure is proposed, which exhibits the same decoding complexity as a conventional convolutional decoder possessing an identical number of trellis states. For the investigated half-rate, memory length-two code the proposed algorithm requires about 0.5dB lower Gaussian channel signal-tp-noise ratio (SNR) than the Maximum A Posteriori (MAP) algorithm using 16 iterations.

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More information

Published date: September 1997
Additional Information: Event Dates: 1-4. September 1997 Organisation: PIMRC'97 Address: Helsinki, Finland
Venue - Dates: of PIMRC 1997, Helsinki, Finland, 1997-09-01 - 1997-09-04
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257109
URI: http://eprints.soton.ac.uk/id/eprint/257109
PURE UUID: 90517e37-177d-40ca-a880-051eb9d66554
ORCID for L Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 12 Dec 2002
Last modified: 18 Mar 2024 02:33

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Contributors

Author: M Breiling
Author: L Hanzo ORCID iD

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