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Telecommunication Systems

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21-06-2021

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

Author: Giuseppe Visalli

Published in: Telecommunication Systems | Issue 2/2021

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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.

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Title: Upgrading an analog recovery loop for optimized decoding jointly to an increased data rate
Author: Giuseppe Visalli
Publication date: 21-06-2021
Publisher: Springer US
Published in: Telecommunication Systems / Issue 2/2021
Print ISSN: 1018-4864
Electronic ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-021-00807-9

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