2019 International Conference on Information and Communication Technology Convergence (ICTC) 2019
DOI: 10.1109/ictc46691.2019.8939785
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Modeling of Passive Intermodulation Distortion Using the Neural Networks and the Cubic Volterra Filter

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Cited by 4 publications
(14 citation statements)
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“…However, the implementation of this method requires network downtime during the maintenance window, which poses a practical limitation. Jang et al [111,112] described a Focused Time Delay Neural Network for modeling IM3, but its applicability is limited to addressing IM3 exclusively. Additionally, Mismar proposed a supervised approach using linear regression to detect IM interference without the need to inject test tones or channel noise [92].…”
Section: Examples Of Digital Pim Cancellationmentioning
confidence: 99%
See 4 more Smart Citations
“…However, the implementation of this method requires network downtime during the maintenance window, which poses a practical limitation. Jang et al [111,112] described a Focused Time Delay Neural Network for modeling IM3, but its applicability is limited to addressing IM3 exclusively. Additionally, Mismar proposed a supervised approach using linear regression to detect IM interference without the need to inject test tones or channel noise [92].…”
Section: Examples Of Digital Pim Cancellationmentioning
confidence: 99%
“…A straightforward method for canceling the IM3 with memory characteristics using the Volterra series in two different bands was proposed in [89,111]. This method can be extended to cancel the higher-order IM products.…”
Section: Examples Of Digital Pim Cancellationmentioning
confidence: 99%
See 3 more Smart Citations