On the improved path metric for soft-input soft-output tree detection

Jun Won Choi, Byonghyo Shim, Andrew C. Singer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a new path metric, which improves the performance of soft-input soft-output (SISO) tree detection for iterative detection and decoding (IDD) systems. While the conventional path metric accounts for the contribution of symbols on a visited path due to the causal nature of tree search, the new path metric, called improved path metric, re.ect the contribution of unvisited paths using an unconstrained minimum mean squared error (MMSE) estimate of undecided symbols. The improved path metric is applied to SISO M-algorithm, which finds a list of symbol candidates based on breadth-first search strategy and computes a posteriori probability of each entry of the symbol vector. We study the probability of correct path loss (CPL) for the improved path metric and confirm the performance improvement over the conventional path metric.

Original languageEnglish
Title of host publication2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings
Pages59-63
Number of pages5
DOIs
Publication statusPublished - 2010
Event2010 Information Theory and Applications Workshop, ITA 2010 - San Diego, CA, United States
Duration: 2010 Jan 312010 Feb 5

Publication series

Name2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings

Other

Other2010 Information Theory and Applications Workshop, ITA 2010
CountryUnited States
CitySan Diego, CA
Period10/1/3110/2/5

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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    Choi, J. W., Shim, B., & Singer, A. C. (2010). On the improved path metric for soft-input soft-output tree detection. In 2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings (pp. 59-63). [5454143] (2010 Information Theory and Applications Workshop, ITA 2010 - Conference Proceedings). https://doi.org/10.1109/ITA.2010.5454143