Adaptive Self-Interference Cancellation in Full -Duplex Radio
Koirala, Kumud (2016)
Koirala, Kumud
2016
Master's Degree Programme in Electrical Engineering
Tieto- ja sähkötekniikan tiedekunta - Faculty of Computing and Electrical Engineering
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Hyväksymispäivämäärä
2016-06-08
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tty-201605254122
https://urn.fi/URN:NBN:fi:tty-201605254122
Tiivistelmä
Full-duplex transmission is a scheme where the transmitter and the receiver of a transceiver can transmit and receive simultaneously using same carrier frequency. Full-duplex transmission theoretically doubles the spectral efficiency and avoids using the separate frequency bands for transmitted and received signal. Full duplex transmission suffers from the self-interference because of the powerful transmit signal coupling back to its own receiver chain. This self-interference signal should be mitigated for the efficient operation of the full duplex radio.
This thesis work includes the experiment on the cancellation of self-interference signal induced during the full duplex transmission. LMS algorithm has been adopted for the channel estimation of self-interference channel and the self-interference cancellation has been carried out at the baseband level. Rician channel has been used as a self-interference channel with a high power in the line of sight direction.
Effect of K parameter of Rician channel and LMS algorithm on self-interference cancellation has been studied in this thesis work. The simulation work has been carried in a LabVIEW™ environment. Different level of attenuation has been observed by varying the number of samples for estimation/cancellation, step size and the length of estimation filter. In this thesis, the used figure of merit is the output power of self-interference digital canceller (error signal).
This thesis work includes the experiment on the cancellation of self-interference signal induced during the full duplex transmission. LMS algorithm has been adopted for the channel estimation of self-interference channel and the self-interference cancellation has been carried out at the baseband level. Rician channel has been used as a self-interference channel with a high power in the line of sight direction.
Effect of K parameter of Rician channel and LMS algorithm on self-interference cancellation has been studied in this thesis work. The simulation work has been carried in a LabVIEW™ environment. Different level of attenuation has been observed by varying the number of samples for estimation/cancellation, step size and the length of estimation filter. In this thesis, the used figure of merit is the output power of self-interference digital canceller (error signal).