Application of particle swarm optimization in adaptive self-interference cancellation

This thesis investigates the application of particle swarm optimization in self-interference cancellation. To achieve cancellation, the receiver has to differentiate between the transmit and receive signal. The transmit signal is already known at the transmitting side but it undergoes some distortion before it reaches the receiving end. An adaptive filter proves to be useful in estimating the distortion, but its weight remains an unknown factor. This thesis uses the particle swarm optimization algorithm to dynamically adjust the weights of the filter.

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Electrical & Computer Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2020

Author dc:creator

• Zhou, Jingchao

Contributors dc:contributor

• Zhou, Jin

• Self-interference cancellation, PSO

Statement dc:rights

• Copyright 2020 Jingchao Zhou

Language dc:language

en

Handle dc:identifier

http://hdl.handle.net/2142/108581

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/108581