A positioning method and apparatus, an electronic device, and a computer-readable storage medium
By utilizing recurrent neural networks and calibration algorithms to process the RSRP and TOA of base station signals, the impact of Tx-Rx delay error on positioning accuracy was resolved, thereby improving positioning accuracy without increasing hardware costs.
CN117177171BActive Publication Date: 2026-05-29BEIJING UNIV OF POSTS & TELECOMM
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Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING UNIV OF POSTS & TELECOMM
- Filing Date
- 2023-08-31
- Publication Date
- 2026-05-29
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Figure CN117177171B_ABST
Abstract
Embodiments of the present application provide a positioning method and device, electronic equipment and computer readable storage medium, the method comprising: obtaining the RSRP and TOA of the signal received by the to-be-positioned device from a plurality of base stations at the current time, inputting the RSRP into a recurrent neural network trained in advance to obtain the first predicted position of the to-be-positioned device at the current time, determining the Tx-Rx delay error of each base station at the current time according to the first predicted position of the to-be-positioned device at the current time and the TOA; performing error elimination on the TOA according to the Tx-Rx delay error of each base station at the current time to obtain the TOA after error elimination of each base station at the current time; and determining the position coordinates of the to-be-positioned device at the current time based on the TOA after error elimination of each base station at the current time. The influence of the Tx-Rx delay error on the positioning result is reduced without increasing the reference terminal, thereby improving the positioning accuracy.
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