abstract: 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. / Dissertation/Thesis / Doctoral Dissertation Electrical Engineering 2017
| Identifer | oai:union.ndltd.org:asu.edu/item:43907 |
| Date | January 2017 |
| Contributors | Paul, Bryan (Author), Bliss, Daniel W. (Advisor), Berisha, Visar (Committee member), Kosut, Oliver (Committee member), Tepedelenlioglu, Cihan (Committee member), Arizona State University (Publisher) |
| Source Sets | Arizona State University |
| Language | English |
| Detected Language | English |
| Type | Doctoral Dissertation |
| Format | 243 pages |
| Rights | http://rightsstatements.org/vocab/InC/1.0/, All Rights Reserved |
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