TY - GEN
T1 - Technological Advances to Facilitate Spectral Convergence
AU - Chiriyath, Alex R.
AU - Herschfelt, Andrew
AU - Srinivas, Sharanya
AU - Bliss, Daniel W.
N1 - Funding Information:
This material is based on research sponsored by AFRL and DARPA under agreement FA8650-18-2-7860. The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon. The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of AFRL and DARPA or the U.S. Government. DISTRIBUTION STATEMENT C. Distribution authorized to U.S. Government agencies and their contractors.
Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - RF spectral convergence is a novel system 'world-view' that encourages increased cooperation between RF systems and utilizing RF energy (or waveforms) for multiple applications. It is a paradigm shift from the current manner in which systems are designed and deployed. In the RF convergence model, systems are required to be more flexible and capable, resulting in multi-function systems that have more spectral efficiency, reliability, system capabilities when compared to current 'stovepiped' systems. For example, a multi-function system can combine the functionality of radar, communications, and position, navigation, and timing systems.RF spectral convergence outlines approaches that will shape RF systems of the future, enabling networks of RF, mmWave, and terahertz systems that jointly execute multiple radio functions, including communications; radar; positioning, navigation, and timing (PNT); spectral situational awareness; and opportunistic spectrum access in the not-so-distant future.In this paper, we review the set of challenges obstructing the integration of such devices into the same spectral region. We also briefly discuss some of the advances in processor or system-on-chip technology that that enable spectral convergence.
AB - RF spectral convergence is a novel system 'world-view' that encourages increased cooperation between RF systems and utilizing RF energy (or waveforms) for multiple applications. It is a paradigm shift from the current manner in which systems are designed and deployed. In the RF convergence model, systems are required to be more flexible and capable, resulting in multi-function systems that have more spectral efficiency, reliability, system capabilities when compared to current 'stovepiped' systems. For example, a multi-function system can combine the functionality of radar, communications, and position, navigation, and timing systems.RF spectral convergence outlines approaches that will shape RF systems of the future, enabling networks of RF, mmWave, and terahertz systems that jointly execute multiple radio functions, including communications; radar; positioning, navigation, and timing (PNT); spectral situational awareness; and opportunistic spectrum access in the not-so-distant future.In this paper, we review the set of challenges obstructing the integration of such devices into the same spectral region. We also briefly discuss some of the advances in processor or system-on-chip technology that that enable spectral convergence.
KW - Navigation
KW - Position measurement
KW - Radar
KW - Spectral convergence
KW - Spectrum sharing
KW - Timing
KW - Wireless communications
UR - http://www.scopus.com/inward/record.url?scp=85127087337&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127087337&partnerID=8YFLogxK
U2 - 10.1109/IEEECONF53345.2021.9723312
DO - 10.1109/IEEECONF53345.2021.9723312
M3 - Conference contribution
AN - SCOPUS:85127087337
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 623
EP - 628
BT - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021
Y2 - 31 October 2021 through 3 November 2021
ER -