Abstract
Bi-static sensing is crucial for exploring the potential of networked sensing capabilities in integrated sensing and communications (ISAC). However, it suffers from the challenging clock asynchronism issue. CSI ratio-based sensing is an effective means to address the issue. Its performance bounds, particular for Doppler sensing, have not been fully understood yet. This work endeavors to fill the research gap. Focusing on a single dynamic path in high-SNR scenarios, we derive the closed-form Cramér-Rao bounds (CRB). Then, through analyzing the mutual interference between dynamic and static paths, we simplify the CRB results by deriving close approximations, further unveiling new insights of the impact of numerous physical parameters on Doppler sensing. Extensive simulation results are provided to validate the preciseness of the derived CRB results and analyses, with the aid of the maximum-likelihood estimator.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024 |
| Editors | Matthew Valenti, David Reed, Melissa Torres |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1535-1540 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350304053 |
| DOIs | |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 2024 Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024 - Denver, United States Duration: 9 Jun 2024 → 13 Jun 2024 |
Publication series
| Name | 2024 IEEE International Conference on Communications Workshops, ICC Workshops 2024 |
|---|
Conference
| Conference | 2024 Annual IEEE International Conference on Communications Workshops, ICC Workshops 2024 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 9/06/24 → 13/06/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- CSI-ratio model
- Cramér-Rao bounds
- Integrated sensing and communication (ISAC)
- Perceptive mobile networks
- uplink sensing
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