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Algebraic soft decoding of multilevel codes with inner convolutional code

W. Schnug, H. Griatler, Georg Cornelius Schmidt, M. Bossart

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Abstract

We consider soft decoding of multilevel codes consisting of a partitioned inner convolutional code and several outer Reed-Solomon (RS) codes. The decoding is done in a multistage manner using a posteriori probability (APP) decoding for the convolutional code and an algebraic soft-input decoder proposed by R. Kotter and A. Vardy (see Proc. of IEEE Int. Symposium on Information Theory, p.61, 2000) for the RS codes. We present a lower bound on the minimum distance and some simulation results.

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What this paper is about

We consider soft decoding of multilevel codes consisting of a partitioned inner convolutional code and several outer Reed-Solomon (RS) codes. The decoding is done in a multistage manner using a posteriori probability (APP) decoding for the convolutional code and an algebraic soft-input decoder proposed by R. Kotter and A. Vardy (see Proc. of IEEE Int. Symposium on Information Theory, p.61, 2000) for the RS codes. We present a lower bound on the minimum distance and some simulation results.

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Available abstract

We consider soft decoding of multilevel codes consisting of a partitioned inner convolutional code and several outer Reed-Solomon (RS) codes. The decoding is done in a multistage manner using a posteriori probability (APP) decoding for the convolutional code and an algebraic soft-input decoder proposed by R. Kotter and A. Vardy (see Proc. of IEEE Int. Symposium on Information Theory, p.61, 2000) for the RS codes. We present a lower bound on the minimum distance and some simulation results.

Key concepts: Convolutional code, Serial concatenated convolutional codes, Concatenated error correction code, Sequential decoding, Decoding methods, Computer science, List decoding, Turbo code

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