| Title |
Performance Comparison of the Neural Networks and the Cubic Volterra Filter for Estimating the Third-order Passive Intermodulation Distortion in a Distributed Antenna System |
| Authors |
김지혜(Zhihui Jin) ; 최준규(Jungyu Choi) ; 임성빈(Sungbin Im) ; 장범희(Beomhee Jang) |
| DOI |
https://doi.org/10.5573/ieie.2020.57.11.3 |
| Keywords |
Passive intermodulation distortion; FDD system; Nonlinearity; FTDNN; CVF |
| Abstract |
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 passive elements 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. |