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155255 https://hdl.handle.net/2286/R.I.43907 http://rightsstatements.org/vocab/InC/1.0/ All Rights Reserved 2017 243 pages Doctoral Dissertation Academic theses Text eng Paul, Bryan Bliss, Daniel W. Berisha, Visar Kosut, Oliver Tepedelenlioğlu, Cihan Arizona State University Doctoral Dissertation Electrical Engineering 2017 RF convergence of radar and communications users is rapidly becoming an issue for a multitude of stakeholders. To hedge against growing spectral congestion, research into cooperative radar and communications systems has been identified as a critical necessity for the United States and other countries. Further, the joint sensing-communicating paradigm appears imminent in several technological domains. In the pursuit of co-designing radar and communications systems that work cooperatively and benefit from each other's existence, joint radar-communications metrics are defined and bounded as a measure of performance. Estimation rate is introduced, a novel measure of radar estimation information as a function of time. Complementary to communications data rate, the two systems can now be compared on the same scale. An information-centric approach has a number of advantages, defining precisely what is gained through radar illumination and serves as a measure of spectral efficiency. Bounding radar estimation rate and communications data rate jointly, systems can be designed as a joint optimization problem. Electrical Engineering Communications Information Theory Radar RF Convergence Spectral Congestion RF Convergence of Radar and Communications: Metrics, Bounds, and Systems