TY - JOUR
T1 - Bit constrained communication receivers in joint radar communications systems
AU - Ma, Dingyou
AU - Shlezinger, Nir
AU - Huang, Tianyao
AU - Liu, Yimin
AU - Eldar, Yonina C.
N1 - Funding Information:
D. Ma, T. Huang and Y. Liu are with the Department of EE, Ts-inghua University, Beijing, China (e-mail: mdy16@mails.tsinghua.edu.cn; {huangtianyao, yiminliu}@tsinghua.edu.cn). Y. C. Eldar is with the Faculty of Mathematics and Computer Science, Weizmann Institute of Science, Re-hovot, Israel (e-mail: yonina.eldar@weizmann.ac.il). N. Shlezinger is with the School of Electrical and Computer Engineering in Ben-Gurion University, Beer Sheva, Israel (e-mail: nirshlezinger1@gmail.com). This work received funding from the National Natural Science Foundation of China under grant 61801258, from the European Unions Horizon 2020 research and innovation program under grant No. 646804-ERC-COG-BNYQ, from Futurewei Technologies, and from the Air Force Office of Scientific Research under grant No. FA9550-18-1-0208. (Corresponding author: Tianyao Huang)
Publisher Copyright:
© 2021 IEEE
PY - 2021/1/1
Y1 - 2021/1/1
N2 - Dual function radar and communications (DFRC) systems are the focus of growing research attention. The common DFRC setup considers simultaneous probing and information transmission to a remote receiver, typically involving complex radar-oriented waveforms, whose detection can induce a notable burden on the receiver. In many DFRC applications, the communication receivers are devices which are limited in terms of hardware, power, and memory resources. These receivers are required to extract the desired information from the received dual-function waveform, while operating with a given bit budget. In this paper, we design bit constrained communication receivers in dual-function systems, by considering hybrid analog/digital architectures and treating their operation as task-based quantization. We study two forms of analog processing in these hybrid receivers, allowing to combine inputs in different time instances and antennas or only in different antennas at the same time instance. Simulation results demonstrate that the proposed task-based quantization strategy outperforms receivers operating only in the digital domain with the same total number of quantization bits.
AB - Dual function radar and communications (DFRC) systems are the focus of growing research attention. The common DFRC setup considers simultaneous probing and information transmission to a remote receiver, typically involving complex radar-oriented waveforms, whose detection can induce a notable burden on the receiver. In many DFRC applications, the communication receivers are devices which are limited in terms of hardware, power, and memory resources. These receivers are required to extract the desired information from the received dual-function waveform, while operating with a given bit budget. In this paper, we design bit constrained communication receivers in dual-function systems, by considering hybrid analog/digital architectures and treating their operation as task-based quantization. We study two forms of analog processing in these hybrid receivers, allowing to combine inputs in different time instances and antennas or only in different antennas at the same time instance. Simulation results demonstrate that the proposed task-based quantization strategy outperforms receivers operating only in the digital domain with the same total number of quantization bits.
KW - Dual function radar-communications
KW - Task-based quantization
UR - http://www.scopus.com/inward/record.url?scp=85110909134&partnerID=8YFLogxK
U2 - 10.1109/ICASSP39728.2021.9413979
DO - 10.1109/ICASSP39728.2021.9413979
M3 - Conference article
AN - SCOPUS:85110909134
SN - 1520-6149
VL - 2021-June
SP - 8243
EP - 8247
JO - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
JF - Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
T2 - 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021
Y2 - 6 June 2021 through 11 June 2021
ER -