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2010•Systems engineering and electronicsRequires access

Generalized crossover product accumulate codes

Jiandong Li

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Abstract

To design channel codes with linear encoding/decoding complexity and performance approaching the Shannon limit,a kind of serial concatenated codes,termed generalized crossover product accumulate(GCPA) codes,is proposed.The outer code of GCPA codes is constructed by introducing a crossover structure into parallel-concatenated single parity-check codes and an accumulator is used as the inner code.Extrinsic information transfer(EXIT) charts are used to design GCPA codes and a design example of GCPA codes is given.Simulations show that the example has linear encoding/decoding complexity and a convergence threshold about 0.32 dB from the Shannon limit.

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What this paper is about

To design channel codes with linear encoding/decoding complexity and performance approaching the Shannon limit,a kind of serial concatenated codes,termed generalized crossover product accumulate(GCPA) codes,is proposed.The outer code of GCPA codes is constructed by introducing a crossover structure into parallel-concatenated single parity-check codes and an accumulator is used as the inner code.Extrinsic information transfer(EXIT) charts are used to design GCPA codes and a design example of GCPA codes is given.Simulations show that the example has linear encoding/decoding complexity and a convergence threshold about 0.32 dB from the Shannon limit.

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Available abstract

To design channel codes with linear encoding/decoding complexity and performance approaching the Shannon limit,a kind of serial concatenated codes,termed generalized crossover product accumulate(GCPA) codes,is proposed.The outer code of GCPA codes is constructed by introducing a crossover structure into parallel-concatenated single parity-check codes and an accumulator is used as the inner code.Extrinsic information transfer(EXIT) charts are used to design GCPA codes and a design example of GCPA codes is given.Simulations show that the example has linear encoding/decoding complexity and a convergence threshold about 0.32 dB from the Shannon limit.

Key concepts: Concatenated error correction code, Linear code, Serial concatenated convolutional codes, Crossover, Turbo code, Noisy-channel coding theorem, Decoding methods, Block code

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