Performance analysis of Turbo decoder using Soft Output Viterbi Algorithm

Ramteke, Shweta; Kakde, Sandeep; Suryawanshi, Yogesh; Meshram, M C

doi:10.1109/iccsp.2015.7322726

Cited by 4 publications

(1 citation statement)

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“…The classic Viterbi decoder stores the state and branch metrics in additional RAMs. The soft-output Viterbi [2] increases the hardware complexity [3] with another array, keeping the reliability information of each survivor path [4]. The system proposed in [5] [6] can recover a coded binary data stream from a phase-modulated waveform with few transistors.…”

Section: Introductionmentioning

confidence: 99%

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

Visalli¹

2021

Telecommun Syst

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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 3dB and 2.5 dB when the encoding rates are 1/3 and 2/3.

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