Non-linear self-interference cancelation for full-duplex transceivers based on Hammerstein-Wiener model
Tapio, Visa; Juntti, Markku (2021-09-01)
V. Tapio and M. Juntti, "Non-Linear Self-Interference Cancelation for Full-Duplex Transceivers Based on Hammerstein-Wiener Model," in IEEE Communications Letters, vol. 25, no. 11, pp. 3684-3688, Nov. 2021, doi: 10.1109/LCOMM.2021.3109669
© 2021 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
https://creativecommons.org/licenses/by/4.0/
https://urn.fi/URN:NBN:fi-fe2021111755729
Tiivistelmä
Abstract
The main challenge in a full-duplex transceiver design is created by the self-interference caused by the coupling of the transmitted signal to the transceiver’s own receiver. The effect of the non-linear operation of both the power amplifier at the transmitter and the low noise amplifier at the receiver are considered in the self-interference cancelation. The performance of three self-interference cancelers are studied: linear cancelation, auto-regressive moving-average (ARMA) based cancelation and a neural network (NN) based canceler. The NN based cancelation outperforms both the linear and ARMA based canceler but requires considerably more operations than the other two.
Kokoelmat
- Avoin saatavuus [31995]