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Upgrading an analog recovery loop for optimized decoding jointly to an increased data rate

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  • Giuseppe Visalli

    (Independent Researcher, Padua)

Abstract

The maximum likelihood detection theory improves the error rate of a sub-optimal but cheaper, coded symbol recovery loop using oversampling proposed as an alternate solution for the decoding problem without the log-likelihood ratio computation. The former implementation delivers the output data in one-symbol delay, and the required transistor count makes this approach attractive for ultra-low-energy wireless applications. The proposed hardware upgrade includes an analog to digital converter and fixed-point accumulation logic to compute the soft values, replacing a trigger used as a hard detector. This work investigates the soft decoding in the presence of binary and non-binary source symbols. Simulation results show that the soft approach improves the signal-to-noise ratio by 3 dB and 2.5 dB when the encoding rates are 1/3 and 2/3.

Suggested Citation

  • Giuseppe Visalli, 2021. "Upgrading an analog recovery loop for optimized decoding jointly to an increased data rate," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 78(2), pages 239-252, October.
    • Handle: RePEc:spr:telsys:v:78:y:2021:i:2:d:10.1007_s11235-021-00807-9
    DOI: 10.1007/s11235-021-00807-9
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