Application of particle swarm optimization in adaptive self-interference cancellation
Zhou, Jingchao
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https://hdl.handle.net/2142/108581
Description
Title
Application of particle swarm optimization in adaptive self-interference cancellation
Author(s)
Zhou, Jingchao
Issue Date
2020-07-07
Director of Research (if dissertation) or Advisor (if thesis)
Zhou, Jin
Department of Study
Electrical & Computer Eng
Discipline
Electrical & Computer Engr
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(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.
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