Abstract
Precise positioning in indoor environments has recently begun to take on greater significance. The characteristics of new radio (NR), such as high frequency-based small cells and broader system bandwidth, can improve the accuracy of observed time difference of arrival (OTDOA) positioning. However, OT-DOA positioning still cannot distinguish the estimated positions of adjacent user equipments (UEs) due to the resolution limitation caused by the sampling period. In this paper, we introduce a method for updating the estimated position of OTDOA using accurate beamforming. Simulation results show the proposed method can improve the ability to distinguish the estimated position of adjacent UEs as well as OTDOA positioning accuracy.
| Original language | English |
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| Title of host publication | 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728197944 |
| DOIs | |
| Publication status | Published - 2021 Jan 9 |
| Event | 18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021 - Virtual, Las Vegas, United States Duration: 2021 Jan 9 → 2021 Jan 13 |
Publication series
| Name | 2021 IEEE 18th Annual Consumer Communications and Networking Conference, CCNC 2021 |
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Conference
| Conference | 18th IEEE Annual Consumer Communications and Networking Conference, CCNC 2021 |
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| Country/Territory | United States |
| City | Virtual, Las Vegas |
| Period | 21/1/9 → 21/1/13 |
Bibliographical note
Funding Information:ACKNOWLEDGEMENTS This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No.2018R1A2A1A05021029). REFERENCES
Publisher Copyright:
© 2021 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Vision and Pattern Recognition