TY - GEN
T1 - Adaptive Cancellation of Nonlinear Self-Interference in Wireless Full-Duplex
T2 - Asilomar Conference on Signals, Systems and Computers
AU - Pascual Campo, Pablo
AU - Anttila, Lauri
AU - Korpi, Dani
AU - Valkama, Mikko
N1 - JUFOID=51931
Funding Information:
This work was financially supported by the Academy of Finland under the projects 301820, 323461 and 319994.
Publisher Copyright:
© 2020 IEEE.
PY - 2020
Y1 - 2020
N2 - This article studies advanced digital self-interference (SI) cancellation algorithms for wireless full-duplex (FD) transceivers. While the majority of works in this area consider linear SI models and corresponding cancellation algorithms, we take also both the transmitter (TX) and receiver (RX) nonlinearities into account. Specifically, we develop a Hammerstein-Wiener type of digital SI cancellation system where the two involved nonlinearities are efficiently implemented through spline-interpolated look-up tables (LUTs). Also, adaptive parameter estimation solutions are pursued and discussed, and comprehensive cancellation performance examples and processing complexity comparisons are provided. The obtained results show that taking both the TX and RX nonlinearities into account in the digital cancellation stage can be beneficial, particularly when the TX power amplifier is operating close to saturation and when the RF isolation and RF cancellation prior to the RX low-noise amplifier (LNA) is limited, such that also the LNA is distorting the SI waveform.
AB - This article studies advanced digital self-interference (SI) cancellation algorithms for wireless full-duplex (FD) transceivers. While the majority of works in this area consider linear SI models and corresponding cancellation algorithms, we take also both the transmitter (TX) and receiver (RX) nonlinearities into account. Specifically, we develop a Hammerstein-Wiener type of digital SI cancellation system where the two involved nonlinearities are efficiently implemented through spline-interpolated look-up tables (LUTs). Also, adaptive parameter estimation solutions are pursued and discussed, and comprehensive cancellation performance examples and processing complexity comparisons are provided. The obtained results show that taking both the TX and RX nonlinearities into account in the digital cancellation stage can be beneficial, particularly when the TX power amplifier is operating close to saturation and when the RF isolation and RF cancellation prior to the RX low-noise amplifier (LNA) is limited, such that also the LNA is distorting the SI waveform.
KW - adaptive
KW - cancellation
KW - in-band full-duplex
KW - look-up table
KW - nonlinear distortion
KW - Self-interference
KW - spline interpolation
U2 - 10.1109/IEEECONF51394.2020.9443406
DO - 10.1109/IEEECONF51394.2020.9443406
M3 - Conference contribution
AN - SCOPUS:85107798224
SN - 9781665447072
T3 - Asilomar Conference on Signals, Systems, and Computers proceedings
SP - 1265
EP - 1271
BT - Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
A2 - Matthews, Michael B.
PB - IEEE
Y2 - 1 November 2020 through 5 November 2020
ER -