On Performance of Analog Least Mean Square Loop for Self Interference Cancellation in In Band Full Duplex OFDM Systems
This paper evaluates the performance of an analog least mean square (ALMS) loop employed to cancel self interference in in band full duplex (IBFD) orthogonal frequency division multiplexing (OFDM) systems. Cyclostationary analysis is applied to investigate the behavior of the ALMS filter. It is revealed that the performance of the ALMS filter for OFDM systems primarily depends on windowing function rather than pulse shaping as in single carrier systems. It is also noticed that the ALMS loop in OFDM systems provides a much higher level of sel interference (SI) suppression because OFDM signals lead to reduced the error of the interference channel modelling with the adaptive filter. Simulations are then conducted to verify the theoretical findings.
2017 IEEE 85th Vehicular Technology Conference (VTC Spring)