TY - GEN
T1 - The DASH SoC
T2 - 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
AU - Venkataramani, Adarsh
AU - Chiriyath, Alex R.
AU - Dutta, Arindam
AU - Herschfelt, Andrew
AU - Bliss, Daniel W.
N1 - Funding Information:
This material is based on research sponsored Air Force Research Laboratory (AFRL) and Advanced Research Projects Agency (DARPA) under agreement number 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 Air Force Research Laboratory (AFRL) and Defense Advanced Research Projects Agency (DARPA) or the U.S. Government.
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - RF spectral convergence is a novel system design paradigm that prioritizes increased cooperation between RF systems and utilizing RF energy (or waveforms) for multiple applications. This paradigm increases spectral efficiency, reliability, and system capabilities when compared to current 'stovepiped' systems. Multi-function systems are critical to the realization of RF convergence systems. We have previously demonstrated single-platform systems that simultaneously enable communications, radar, positioning, navigation, and timing (PNT) and other RF capabilities. There are many roadblocks preventing the deployment of such systems, one of which is the lack of flexible, capable back-end processors; multi-function systems require hardware capable of performing extremely complex computations efficiently, while also being flexible enough to cover a wide range of functionality. In this paper, we discuss the DASH SoC in the context of RF spectral convergence. This revolutionary, heterogeneous SoC design framework enables the development of such flexible and powerful hardware. We demonstrate through simulations that using the DASH SoC increases performance of a joint-radar communications receiver, a miniature RF convergence system.
AB - RF spectral convergence is a novel system design paradigm that prioritizes increased cooperation between RF systems and utilizing RF energy (or waveforms) for multiple applications. This paradigm increases spectral efficiency, reliability, and system capabilities when compared to current 'stovepiped' systems. Multi-function systems are critical to the realization of RF convergence systems. We have previously demonstrated single-platform systems that simultaneously enable communications, radar, positioning, navigation, and timing (PNT) and other RF capabilities. There are many roadblocks preventing the deployment of such systems, one of which is the lack of flexible, capable back-end processors; multi-function systems require hardware capable of performing extremely complex computations efficiently, while also being flexible enough to cover a wide range of functionality. In this paper, we discuss the DASH SoC in the context of RF spectral convergence. This revolutionary, heterogeneous SoC design framework enables the development of such flexible and powerful hardware. We demonstrate through simulations that using the DASH SoC increases performance of a joint-radar communications receiver, a miniature RF convergence system.
KW - Heterogeneous SoC
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=85150216649&partnerID=8YFLogxK
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U2 - 10.1109/IEEECONF56349.2022.10052029
DO - 10.1109/IEEECONF56349.2022.10052029
M3 - Conference contribution
AN - SCOPUS:85150216649
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 905
EP - 912
BT - 56th Asilomar Conference on Signals, Systems and Computers, ACSSC 2022
A2 - Matthews, Michael B.
PB - IEEE Computer Society
Y2 - 31 October 2022 through 2 November 2022
ER -