| Paper ID | SS-6.4 |
| Paper Title |
A LOW-COMPLEXITY MIMO DUAL FUNCTION RADAR COMMUNICATION SYSTEM VIA ONE-BIT SAMPLING |
| Authors |
Siyu Zhu, Feng Xi, Shengyao Chen, Nanjing University of Science and Technology, China; Arye Nehorai, Washington University in St. Louis, United States |
| Session | SS-6: Intelligent Sensing and Communications for Emerging Applications |
| Location | Gather.Town |
| Session Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation Time: | Wednesday, 09 June, 14:00 - 14:45 |
| Presentation |
Poster
|
| Topic |
Special Sessions: Intelligent Sensing and Communications for Emerging Applications |
| IEEE Xplore Open Preview |
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| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Dual-function radar-communication (DFRC) system is flexible to be applied in a variety of scenarios. However, it is challenging to implement a low-cost low-complexity DFRC system due to the dynamic cooperation between radar sensing and communication tasks. In this paper, we propose to implement a low-complexity multiple input multiple output DFRC (MIMO-DFRC) system relying on the generalized spatial modulation (GSM) and the low-resolution sampling. To deal with the induced quantization distortion and dynamic antenna allocation, we formulate the radar sensing problem as an atomic norm-based convex problem, which can be solved by off-the-shelf solvers. Simulation results demonstrate that the proposed MIMO-DFRC system can achieve delay and azimuth estimation with accuracy as low as about 10% of the resolution grids while employing 1-bit sampling. |
