The future of the marine industry heavily relies on advanced underwater sensing and communications technologies to effectively monitor maritime activities for resource management and decision-making processes. However, the efficacy of current underwater communications and sensing systems faces significant challenges, primarily due to multipath propagation, large delays, severe Doppler shift and scaling.
This project aims to develop a reliable and efficient underwater communication and sensing system aided by orthogonal delay-Doppler division multiplexing (ODDM) modulation and frequency modulated continuous wave (FMCW) signals. Novel algorithm for data-aided sensing and joint channel estimation and data detection techniques will be explored.
This project involves the following four key research areas of wireless communication:
- Orthogonal delay-Doppler division multiplexing (ODDM) modulation
- Radar and frequency modulated continuous wave (FMCW)
- Integrated sensing and communications (ISAC)
- Underwater acoustic communication
School
Electrical Engineering and Telecommunications
Research Area
Wireless communication
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
The candidate will work closely with the wireless communications research group within the School of Electrical Engineering and Telecommunications at UNSW. The research group has a vibrant research ethos with several PhD students and a few senior research associates.
- The student is expected to gain design knowledge of digital communication systems for underwater environments.
- One short paper in a tier-1 IEEE communication conference and one full transaction-type journal paper
- The student will gain hands-on experience with MATLAB Simulink packages and statistical signal processing, along with deep exposure to wireless communication technologies, fostering their interest in pursuing higher-degree research (HDR/PhD).
- H. Lin and J. Yuan, “Orthogonal delay-Doppler division multiplexing modulation,” IEEE Trans. Wireless Commun., vol. 21, no. 12, pp. 11 024–11 037, 2022.
- S. E. Zegrar, S. Rafique, and H. Arslan, “OTFS-FMCW waveform design for low complexity joint sensing and communication,” in Proc. IEEE PIMRC, 2022, pp. 988–993.