TY - GEN
T1 - AI Heterogeneous Radar Digital Back-end Platform Based on RFSoC
AU - Wang, Enbin
AU - Jin, Zhaojian
AU - Ma, Zhifeng
AU - Wang, Deshe
AU - Wu, Qiongzhi
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Aiming at the development trend of direct radio frequency sampling in radar systems, we propose an artificial intelligence (AI) heterogeneous radar digital back-end platform based on the RF System-on-Chip (RFSoC). Utilize the RFSOC's radio frequency sampling capacity, the RF signal is directly sampled and synthesized in the proposed system. Specially, the overall system is equipped with accelerated computing scheme based on AI for signal processing, which integrates the Jetson AGX Xavier series GPU to the digital back-end platform. Firstly, the overall box diagram of the system design is proposed. Secondly, the key technologies in the design are discussed. Finally, this platform also provides an important reference value for the construction of next-generation RF sampling radar and radar heterogeneous computing platform.
AB - Aiming at the development trend of direct radio frequency sampling in radar systems, we propose an artificial intelligence (AI) heterogeneous radar digital back-end platform based on the RF System-on-Chip (RFSoC). Utilize the RFSOC's radio frequency sampling capacity, the RF signal is directly sampled and synthesized in the proposed system. Specially, the overall system is equipped with accelerated computing scheme based on AI for signal processing, which integrates the Jetson AGX Xavier series GPU to the digital back-end platform. Firstly, the overall box diagram of the system design is proposed. Secondly, the key technologies in the design are discussed. Finally, this platform also provides an important reference value for the construction of next-generation RF sampling radar and radar heterogeneous computing platform.
KW - AI heterogeneous
KW - Radar digital back-end
KW - Radio Frequency System on Chip
KW - radio frequency sampling
KW - radio frequency synthese
UR - http://www.scopus.com/inward/record.url?scp=85142214547&partnerID=8YFLogxK
U2 - 10.1109/IAEAC54830.2022.9929628
DO - 10.1109/IAEAC54830.2022.9929628
M3 - Conference contribution
AN - SCOPUS:85142214547
T3 - IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)
SP - 1885
EP - 1889
BT - IEEE 6th Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2022
A2 - Xu, Bing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE Advanced Information Technology, Electronic and Automation Control Conference, IAEAC 2022
Y2 - 3 October 2022 through 5 October 2022
ER -
