Modeling of Passive Intermodulation Distortion Using the Neural Networks and the Cubic Volterra Filter
| Autor: | Beomhee Jang, Chonghoon Kim, Seungmo Hong, Sungbin Im |
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| Rok vydání: | 2019 |
| Předmět: |
Artificial neural network
Time delay neural network business.industry Computer science 020206 networking & telecommunications 02 engineering and technology Interference (wave propagation) Signal Nonlinear system Interference (communication) Telecommunications link 0202 electrical engineering electronic engineering information engineering Electronic engineering Wireless business Intermodulation |
| Zdroj: | ICTC |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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