2026-05-24T01:41:30Zhttps://keep.lib.asu.edu/oai/requestoai:keep.lib.asu.edu:node-1876952024-12-23T18:01:48Zoai_pmh:alloai_pmh:repo_items187695
https://hdl.handle.net/2286/R.2.N.187695
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All Rights Reserved
2023
132 pages
Doctoral Dissertation
Academic theses
Text
eng
Morgenstern, Carl Willis
Bliss, Daniel W
Herschfelt, Andrew
Papandreou-Suppappola, Antonia
Rong, Yu
Allee, David
Arizona State University
Partial requirement for: Ph.D., Arizona State University, 2023
Field of study: Electrical Engineering
In-Band Full-Duplex (IBFD) can maximize the spectral resources and enable new types of technology, but generates self-interference (SI) that must be mitigated to enable practical applications. Analog domain SI cancellation (SIC), usually implemented as a digitally controlled adaptive filter, is one technique that is necessary to mitigate the interference below the noise floor. To maximize the efficiency and performance of the adaptive filter this thesis studies how key design choices impact the performance so that device designers can make better tradeoff decisions. Additionally, algorithms are introduced to maximize the SIC that incorporate the hardware constraints. The provided simulations show up to 45dB SIC with 7 bits of precision at 100MHz bandwidth.
Engineering
In-Band Full Duplex Analog Control and Analysis