Normalization of Output Information for a Turbo Decoder Using SOVA(Communication Theory and Signals)

概要

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It has been shown that the output information produced by the soft output Viterbi algorithm (SOVA) is too optimistic. To compensate for this, the output information should be normalized. This letter proposes a simple normalization technique that extends the existing sign difference ratio (SDR) criterion. The new normalization technique counts the sign differences between the a-priori information and the extrinsic information, and then adaptively determines the corresponding normalization factor for each data block. Simulations comparing the new technique with other well-known normalization techniques show that the proposed normalization technique can achieve about 0.2dB coding gain improvement on average while reducing up to about 1/2 iteration for decoding.
社団法人電子情報通信学会の論文
2007-10-01