Cognitive Anti-Jamming Framework with Self-Interference Cancellation on a Wideband Autonomous Cognitive Radio

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. SelfInterference 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 abilities 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.