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Multi-ary Soft Output Viterbi decoding Algorithm for Unitary Space-Time Symbol-Based Turbo Code

Authors: Dapeng Zhang; Ju Liu; Qiangjun Niu; Hui Ji;

Multi-ary Soft Output Viterbi decoding Algorithm for Unitary Space-Time Symbol-Based Turbo Code

Abstract

UST symbol-based turbo code has recently been proposed which can reduce the system complexity and calculation amount compared with bit-wise concatenation scheme. However, the corresponding MAP decoding algorithm still makes hardware unbearable and later its simplified versions, Max-Log-MAP and Log-MAP algorithms, appeared. In this paper, we propose a multiary SOVA decoding algorithm for UST symbol-based turbo code. Using our UST symbol-based SOVA, soft output information from the prior iteration can be accepted as the a priori information for current iteration. Notably, the experimental results show that our algorithm can achieve close performance to Max-Log-MAP and Log-MAP algorithms with lower complexity. The performance of the SOVA and that of MAP algorithm are almost the same at a BER of 10-5, and is even better for a higher BER.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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