SPS Webinar: A Bandwidth Efficient Dual-Function Radar Communication System Based on a MIMO Radar Using OFDM Waveforms

Date: 7 February 2024
Time: 8:00 AM ET (New York Time)
Presenter(s): Dr. Athina P. Petropulu, Mr. Zhaoyi Xu

Original article: Free download for 48 hours from day of webinar.


A novel dual-function radar communication (DFRC) system is proposed, that achieves a high communication rate, and can flexibly trade-off rate for improved sensing performance. The proposed system is a monostatic multiple-input multiple-output (MIMO) radar and transmits wideband, pre-coded, orthogonal frequency division multiplexing (OFDM) waveforms from its antennas. The system subcarriers are divided into two groups, i.e., shared and private. On a shared subcarrier, all antennas can transmit simultaneously, while on a private subcarrier only one antenna can transmit at a time.

A novel target estimation approach with low complexity is proposed to overcome the coupling of transmitted symbols and radar target parameters in the target echoes, which arises due to the shared use of subcarriers by the transmit antennas. The proposed method first operates on all (shared and private) subcarriers to obtain coarse angle estimates, and then fine-tunes those estimates based on the signal received on the private subcarriers. The resolution of the coarse angle estimates is limited by the physical receive array, while the fine-tuning is enabled by effectively constructing a virtual array that has a larger aperture than the receive array. The precoding matrix is optimally designed to optimize a weighted combination of the beampattern error with respect to a desirable beampattern, and the signal-to-noise ratio at the communication receiver.


Athina P. Petropulu (Fellow, IEEE) is currently a Distinguished Professor with the Department of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, USA, and was the Chair of the Department during 2010–2016. Prior to joining Rutgers University, she was a professor of electronics and communication engineering with Drexel University, Philadelphia, PA, USA, during 1992–2010. She held Visiting Scholar appointments with SUPELEC, Universite' Paris Sud, Orsay, France, Princeton University, Princeton, NJ, USA, and University of Southern California, Los Angeles, CA, USA.

Her research interests include statistical signal processing, wireless communications, signal processing in networking, physical layer security, and radar signal processing. Her research has been funded by various government industry sponsors, including the National Science Foundation, Office of Naval research, U.S. Army, National Institute of Health, Whitaker Foundation, Lockheed Martin, and Raytheon.

Dr. Petropulu is Fellow of the American Association for the Advancement of Science. She is 2022-2023 President of the IEEE Signal Processing Society and 2020-2021 President-Elect of IEEE SPS. She was the Editor-in-Chief of the IEEE Transactions on Signal Processing during 2009–2011 and the IEEE Signal Processing Society Vice President-Conferences during 2006–2008. She was the General Chair of the 2020 and 2021 IEEE SPS PROGRESS Workshops, the General Co-Chair of the 2018 IEEE International Workshop on Signal Processing Advances in Wireless Communications, Kalamata Greece, and the Genera Chair of the 2005 International Conference on Acoustics Speech and Signal Processing, Philadelphia, PA, USA. She was a Distinguished Lecturer of the Signal Processing Society from 2017 to 2018 and is currently a Distinguished Lecturer of the IEEE Aerospace and Electronics Systems Society. She was the recipient of the 1995 Presidential Faculty Fellow Award given by NSF and the White House, 2012 IEEE Signal Processing Society Meritorious Service Award, and co-recipient of the 2005 IEEE Signal Processing Magazine Best Paper Award, 2020 IEEE Signal Processing Society Young Author Best Paper Award (B. Li), 2021 IEEE Signal Processing Society Young Author Best Paper Award (F. Liu), and 2021 Barry Carlton Best Paper Award by IEEE Aerospace and Electronic Systems Society.

Zhaoyi Xu received the B.E. degree in Microelectronics Science and Engineering from UESTC, Chengdu, China, in 2018.

He is a Ph.D. candidate in the ECE Department at Rutgers University under the supervision of Professor Athina Petropulu. He received the Best Student Paper Award at the IEEE MLSP 2023. His research interests include the design of dual-function radar communication systems, remote vital signal monitoring, physical layer security, and sparse array design.