Modeling of Passive Intermodulation Distortion Using the Neural Networks and the Cubic Volterra Filter

In this paper, modeling of the third-order passive intermodulation distortion (PIMD) caused by the downlink signal in the frequency division duplex (FDD) wireless communication system is developed with the Focused Time Delay Neural Network (FTDNN) and the cubic Volterra Filter (CVF). PIMD is an inte...

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Bibliographic Details
Published in2019 International Conference on Information and Communication Technology Convergence (ICTC) pp. 1042 - 1046
Main Authors Jang, Beomhee, Im, Sungbin, Kim, Chonghoon, Hong, Seungmo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
Baseband
Cubic Volterra Filter
Downlink
Estimation
FDD
Frequency conversion
FTDNN
Mathematical model
Nonlinearity
Passive Intermodulation
Receivers
Uplink
Wireless Communication System
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Summary:In this paper, modeling of the third-order passive intermodulation distortion (PIMD) caused by the downlink signal in the frequency division duplex (FDD) wireless communication system is developed with the Focused Time Delay Neural Network (FTDNN) and the cubic Volterra Filter (CVF). PIMD is an interference signal generated due to the nonlinearity of a passive element in a wireless communication environment, and degrades the noise level of a receiver, resulting in a deterioration of communication quality. Estimation and performance evaluation of the proposed approaches are investigated with measured PIMD signals and transmitted downlink signals. It is observed that both FTDNN and CVF are suitable for modeling non-linearity of the PIMD generation process.
DOI:10.1109/ICTC46691.2019.8939785