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  4. Fundamental Limits on Performance for Cooperative Radar-Communications Coexistence
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Fundamental Limits on Performance for Cooperative Radar-Communications Coexistence

Full metadata

Description

Spectral congestion is quickly becoming a problem for the telecommunications sector. In order to alleviate spectral congestion and achieve electromagnetic radio frequency (RF) convergence, communications and radar systems are increasingly encouraged to share bandwidth. In direct opposition to the traditional spectrum sharing approach between radar and communications systems of complete isolation (temporal, spectral or spatial), both systems can be jointly co-designed from the ground up to maximize their joint performance for mutual benefit. In order to properly characterize and understand cooperative spectrum sharing between radar and communications systems, the fundamental limits on performance of a cooperative radar-communications system are investigated. To facilitate this investigation, performance metrics are chosen in this dissertation that allow radar and communications to be compared on the same scale. To that effect, information is chosen as the performance metric and an information theoretic radar performance metric compatible with the communications data rate, the radar estimation rate, is developed. The estimation rate measures the amount of information learned by illuminating a target. With the development of the estimation rate, standard multi-user communications performance bounds are extended with joint radar-communications users to produce bounds on the performance of a joint radar-communications system. System performance for variations of the standard spectrum sharing problem defined in this dissertation are investigated, and inner bounds on performance are extended to account for the effect of continuous radar waveform optimization, multiple radar targets, clutter, phase noise, and radar detection. A detailed interpretation of the estimation rate and a brief discussion on how to use these performance bounds to select an optimal operating point and achieve RF convergence are provided.

Date Created
2018
Contributors
  • Chiriyath, Alex Rajan (Author)
  • Bliss, Daniel W (Thesis advisor)
  • Cochran, Douglas (Committee member)
  • Kosut, Oliver (Committee member)
  • Richmond, Christ D (Committee member)
  • Arizona State University (Publisher)
Topical Subject
  • Electrical Engineering
  • Communications Systems
  • Estimation theory
  • Information Theory
  • Radar Communications Coexistence
  • RF Convergence
  • Spectrum Sharing
Resource Type
Text
Genre
Doctoral Dissertation
Academic theses
Extent
141 pages
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
All Rights Reserved
Primary Member of
ASU Electronic Theses and Dissertations
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.49002
Level of coding
minimal
Note
Doctoral Dissertation Electrical Engineering 2018
System Created
  • 2018-06-01 08:00:14
System Modified
  • 2021-08-26 09:47:01
  •     
  • 1 year 6 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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