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2002•Unpublished venueRequires access

Near Shannon limit error-correcting coding and decoding: Turbo-codes. 1

Claude Berrou, Alain Glavieux, Punya Thitimajshima

Open publisher page 6,722 citations

Abstract

A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed. The turbo-code encoder is built using a parallel concatenation of two recursive systematic convolutional codes, and the associated decoder, using a feedback decoding rule, is implemented as P pipelined identical elementary decoders.>

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What this paper is about

A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed. The turbo-code encoder is built using a parallel concatenation of two recursive systematic convolutional codes, and the associated decoder, using a feedback decoding rule, is implemented as P pipelined identical elementary decoders.>

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Available abstract

A new class of convolutional codes called turbo-codes, whose performances in terms of bit error rate (BER) are close to the Shannon limit, is discussed. The turbo-code encoder is built using a parallel concatenation of two recursive systematic convolutional codes, and the associated decoder, using a feedback decoding rule, is implemented as P pipelined identical elementary decoders.>

Key concepts: Turbo code, Serial concatenated convolutional codes, Concatenation (mathematics), Convolutional code, Noisy-channel coding theorem, Decoding methods, Concatenated error correction code, Encoder

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