Electrical and Computer Engineering ETDs
Publication Date
Spring 2017
Abstract
With crowded usage of the wireless spectrum, full-duplex wireless systems are introduced to increase bandwidth efficiency by transmitting and receiving on the same frequency band at the same time. Full-duplex communication is a promising solution for greater wireless communications efficiency but, it requires solving the problem of self-interference. Self- Interference cancellation is the process of canceling a radio’s own transmission signal that interferes with its sensed signal which can block desired outside signals of interest. The focus of this thesis is to design and implement a novel self-interference cancellation method for the Wide-band Autonomous Cognitive Radio (WACR) with anti-jamming abil- ities which needs to be capable of canceling the WACR’s shifting transmission signal in its sensed spectrum. This is an all-digital active cancellation technique which minimizes the computational complexity of the system’s digital baseband signal processing and allows it to be dynamically adaptive to the WACR’s shifting transmission signal.
Document Type
Thesis
Degree Name
Electrical Engineering
Level of Degree
Masters
Department Name
Electrical and Computer Engineering
First Committee Member (Chair)
Prof. Sudharman K. Jayaweera
Second Committee Member
Prof. Prof. Christos G. Christodoulou
Third Committee Member
Prof. Manel Martinez-Ramon
Recommended Citation
Machuzak, Stephen J.. "Cognitive Anti-Jamming Framework with Self-Interference Cancellation on a Wideband Autonomous Cognitive Radio." (2017). https://digitalrepository.unm.edu/ece_etds/340