Comparative Study of Turbo Decoding Techniques: An Overview
Comparative Study of Turbo Decoding Techniques: An Overview
In this contribution, we provide an overview of the novel class of channel codes referred to as turbo codes, which have been shown to be capable of performing close to the Shannon Limit. We commence with a brief discussion on turbo encoding, and then move on to describing the form of the iterative decoder most commonly used to decode turbo codes. We then elaborate on various decoding algorithms that can be used in an iterative decoder, and give an example of the operation of such a decoder using the so-called Soft Output Viterbi Algorithm (SOVA). Lastly, the effect of a range of system parameters is investigated in a systematic fashion, in order to gauge their performance ramifications.
2208-2233
Woodard, J.P.
554fe4b7-5fc5-486b-bd6f-5ec6f93b0067
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
November 2000
Woodard, J.P.
554fe4b7-5fc5-486b-bd6f-5ec6f93b0067
Hanzo, L.
66e7266f-3066-4fc0-8391-e000acce71a1
Woodard, J.P. and Hanzo, L.
(2000)
Comparative Study of Turbo Decoding Techniques: An Overview.
IEEE Transactions on Vehicular Technology, 49 (6), .
Abstract
In this contribution, we provide an overview of the novel class of channel codes referred to as turbo codes, which have been shown to be capable of performing close to the Shannon Limit. We commence with a brief discussion on turbo encoding, and then move on to describing the form of the iterative decoder most commonly used to decode turbo codes. We then elaborate on various decoding algorithms that can be used in an iterative decoder, and give an example of the operation of such a decoder using the so-called Soft Output Viterbi Algorithm (SOVA). Lastly, the effect of a range of system parameters is investigated in a systematic fashion, in order to gauge their performance ramifications.
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Published date: November 2000
Organisations:
Southampton Wireless Group
Identifiers
Local EPrints ID: 254457
URI: http://eprints.soton.ac.uk/id/eprint/254457
ISSN: 0018-9545
PURE UUID: 7067c87c-0e5e-4720-b533-f9d7ee3cedb2
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Date deposited: 28 Jan 2004
Last modified: 18 Mar 2024 02:33
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Author:
J.P. Woodard
Author:
L. Hanzo
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