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

Jang B.; Im S.; Kim C.; Hong S.

doi:10.1109/ICTC46691.2019.8939785

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

Citations

SCOPUS

9

초록

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. © 2019 IEEE.

키워드

Cubic Volterra Filter; FDD; FTDNN; Nonlinearity; Passive Intermodulation; Wireless Communication System; Deterioration; Frequency division multiplexing; Intermodulation; Intermodulation distortion; Intermodulation measurement; Neural networks; Nonlinear filtering; Signal receivers; FTDNN; Nonlinearity; Passive intermodulation; Volterra filter; Wireless communication system; Passive filters

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

저자: Jang B.; Im S.; Kim C.; Hong S.

DOI: 10.1109/ICTC46691.2019.8939785

발행일: 2019-10

유형: Conference Paper

저널명: ICTC 2019 - 10th International Conference on ICT Convergence: ICT Convergence Leading the Autonomous Future

페이지: 1042 ~ 1046

언어: ENG

출판사: Institute of Electrical and Electronics Engineers Inc.

발행국가: 미국

분량: 5 페이지

ISSN: P 0000-0000