2022
DOI: 10.1007/s11760-022-02275-3
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On the performance of a turbo-coded DFT-spread FBMC over realistic powerline communication channels

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Cited by 1 publication
(2 citation statements)
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“…Gheth et al presented several available impulsive noise models and compared the decoding performance of turbo codes and LDPC 4 . Kechad and Ouafi presented a PLC system structure for an efficient impulsive noise mitigation which takes advantage of turbo‐coded peak to average power ratio efficient filter bank multicarrier modulation and channel equalization 10 . However, LDPC codes require more hardware resources because of the high computational and storage unit requirements in a fully parallel decoding structure and larger coding latency because longer code lengths are required to fully realize the performance benefits.…”
Section: Introductionmentioning
confidence: 99%
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“…Gheth et al presented several available impulsive noise models and compared the decoding performance of turbo codes and LDPC 4 . Kechad and Ouafi presented a PLC system structure for an efficient impulsive noise mitigation which takes advantage of turbo‐coded peak to average power ratio efficient filter bank multicarrier modulation and channel equalization 10 . However, LDPC codes require more hardware resources because of the high computational and storage unit requirements in a fully parallel decoding structure and larger coding latency because longer code lengths are required to fully realize the performance benefits.…”
Section: Introductionmentioning
confidence: 99%
“…4 Kechad and Ouafi presented a PLC system structure for an efficient impulsive noise mitigation which takes advantage of turbo-coded peak to average power ratio efficient filter bank multicarrier modulation and channel equalization. 10 However, LDPC codes require more hardware resources because of the high computational and storage unit requirements in a fully parallel decoding structure and larger coding latency because longer code lengths are required to fully realize the performance benefits. The most obvious drawback of LDPC codes is that the computational effort of its implementation increases exponentially as the coding length increases.…”
Section: Introductionmentioning
confidence: 99%