An improved PSP scheme using state cooperation for phase synchronization

Yung Yi Wang*, Shih Jen Yang, Po Yuan Lee

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations


The conventional per-survivor-processing (PSP) scheme suffers from the error propagation problem because it does not fully use the state message provided by a hidden Markov process. This study proposes a vertical cooperation among states to enhance the estimate reliabilities in the PSP scheme. The key idea of the proposed algorithm is to estimate the system uncertainty at each time stage in a maximum likelihood (ML) manner that chooses the parameter estimate of the state with the minimum cumulative branch metric as the survival estimate of the time stage. Computer simulations show that with the improved phase estimates, the proposed algorithm significantly outperforms the conventional PSP scheme in data decoding.

Original languageEnglish
Pages (from-to)589-597
Number of pages9
JournalJournal of the Franklin Institute
Issue number1
StatePublished - 01 2014


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