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A Posteriory Probability Decoding of Nonsystematically Encoded Block Codes

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Abstract

We consider the problem of symbol-by-symbol a posteriori probability (APP) decoding for information symbols of nonsystematically encoded block codes. This problem arises at soft concatenated decoding of generalized concatenated block codes. The well-known BCJR algorithm for efficient APP decoding is not able to solve the problem if it runs on the minimal code trellis of a block code. We introduce an extended trellis representation for block codes, which includes encoding information and thus makes it possible to apply the BCJR algorithm as well as trellis-based decoding in the dual code space. Complexity properties of the extended trellis are investigated.

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Griesser, H., Sidorenko, V.R. A Posteriory Probability Decoding of Nonsystematically Encoded Block Codes. Problems of Information Transmission 38, 182–193 (2002). https://doi.org/10.1023/A:1020309101422

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