Iterative decoding of wrapped space-time codes

We study the iterative decoding of Wrapped Space-Time Codes (WSTCs) employing per-survivor-processing with the soft-output Viterbi-algorithm (SOVA). We use a novel receiver scheme that incorporates extrinsic information delivered by the SOVA. The decision metric of the SOVA is developed, and the performance is analyzed.