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Title:Application of particle swarm optimization in adaptive self-interference cancellation
Author(s):Zhou, Jingchao
Advisor(s):Zhou, Jin
Department / Program:Electrical & Computer Eng
Discipline:Electrical & Computer Engr
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Self-interference cancellation, PSO
Abstract: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.
Issue Date:2020-07-07
Rights Information:Copyright 2020 Jingchao Zhou
Date Available in IDEALS:2020-10-07
Date Deposited:2020-08

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