作者: A.P. Kind , A. Grant
DOI: 10.1109/ISIT.2005.1523320
关键词: Theoretical computer science 、 Tree (data structure) 、 Underdetermined system 、 Mathematics 、 Probability distribution 、 Error detection and correction 、 Decoding methods 、 Transformation (function) 、 Posterior probability 、 Set (abstract data type)
摘要: Application of the turbo principle to multiuser decoding results in an exchange probability distributions between two sets constraints. Firstly, constraints imposed by multiple-access channel, and secondly, individual each users' error control code. A-posteriori computation for first set is prohibitively complex all but a small number users. Several lower complexity approaches have been proposed literature. One class methods based on linear filtering (e.g. LMMSE). A more recent approach compute approximations posterior probabilities marginalising over subset sequences (list detection). Most list detection are restricted non-singular systems. In this paper, we introduce transformation that permits application standard tree-search underdetermined We find resulting receiver outperforms existing