An efficient SNR estimate scheme for a turbo decoder over quasi-static channels

Chen Yi Wang*, Po-Ning Chen, Wei Ting Chen, Shin Lin Shieh, Yunghsiang S. Han

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The performance of the Log-MAP turbo decoders relies heavily on the accurate knowledge of the channel signal-to-noise ratio (SNR) characteristics. Several SNR estimate schemes that are based on the second-order statistics of the received vectors were accordingly proposed in literatures. In this paper, we present an alternative SNR estimate scheme that requires only the first-order statistics and hence is much less complex and more efficient. Theoretical analysis on the estimate accuracy based on the Independent Gaussian Assumption is also provided, and is subsequently examined by simulations. Our results indicate that the proposed efficient channel SNR estimate can yield a comparable system performance with much less computational effort than the existing channel SNR estimate schemes.

Original languageAmerican English
Pages (from-to)261-268
Number of pages8
JournalInternational Journal of Electrical Engineering
Issue number4
StatePublished - 1 Aug 2008


  • Channel estimation
  • Low complexity
  • Turbo code


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