TY - GEN
T1 - Complexity reduction methods for index modulation based dual-function radar communication systems
AU - Huang, Tianyao
AU - Shlezinger, Nir
AU - Xu, Xingyu
AU - Liu, Yimin
AU - Eldar, Yonina C.
N1 - Funding Information: This work received funding from the National Natural Science Foundation of China under Grants 61801258 and 61571260, from Futurewei Technologies, from the European Unions Horizon 2020 research and innovation program under grant No. 646804-ERC-COG-BNYQ, and from the Air Force Office of Scientific Research under grant No. FA9550-18-1-0208. Funding Information: This work received funding from the National Natural Science Foundation of China under Grants 61801258 and 61571260, from Futurewei Technologies, from the European Unions Horizon 2020 research and innovation program under grant No. 646804-ERC-COG-BNYQ, and from the Air Force Office of Scientific Research under grant No. FA9550-18-1-0208.T. Huang, X. Xu, and Y. Liu are with the EE Department, Tsinghua University, Beijing, China (e-mail: huangtianyao@tsinghua.edu.cn; xy-xu15@mails.tsinghua.edu.cn; yimin-liu@tsinghua.edu.cn). N. Shlezinger and Y. C. Eldar are with the Faculty of Math and CS, Weizmann Institute of Science, Rehovot, Israel (e-mail: nirshlezinger1@gmail.com; yonina.eldar@weizmann.ac.il). Publisher Copyright: © 2020 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 2020/5/1
Y1 - 2020/5/1
N2 - Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. An emerging DFRC strategy embeds transmission of digital messages into agility-based radar schemes in the form of index modulation (IM). This approach provides the ability to communicate without entailing degradation in radar performance, at the cost of increased decoding complexity at the receiver side. In this work we propose schemes for reducing the decoding complexity associated with IM-based DFRC systems. We first focus on the receiver side, developing a sub-optimal low complexity scheme for recovering IM symbols embedded in radar waveforms. Then, we propose a method to modify the radar waveform to facilitate the recovery of the communicated bits with minimal effect on the radar performance. Our numerical results demonstrate that the proposed techniques allow the receiver to reliably recover the transmitted symbols with an affordable computational burden.
AB - Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. An emerging DFRC strategy embeds transmission of digital messages into agility-based radar schemes in the form of index modulation (IM). This approach provides the ability to communicate without entailing degradation in radar performance, at the cost of increased decoding complexity at the receiver side. In this work we propose schemes for reducing the decoding complexity associated with IM-based DFRC systems. We first focus on the receiver side, developing a sub-optimal low complexity scheme for recovering IM symbols embedded in radar waveforms. Then, we propose a method to modify the radar waveform to facilitate the recovery of the communicated bits with minimal effect on the radar performance. Our numerical results demonstrate that the proposed techniques allow the receiver to reliably recover the transmitted symbols with an affordable computational burden.
KW - Dual-function radar communications
KW - Index modulation
UR - http://www.scopus.com/inward/record.url?scp=85087331352&partnerID=8YFLogxK
U2 - https://doi.org/10.1109/ICASSP40776.2020.9054662
DO - https://doi.org/10.1109/ICASSP40776.2020.9054662
M3 - Conference contribution
SN - 9781509066315
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5080
EP - 5084
BT - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings
T2 - 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020
Y2 - 4 May 2020 through 8 May 2020
ER -