Title:
BASE STATION POSITIONING BASED ON CONVOLUTIONAL NEURAL NETWORKS
Document Type and Number:
WIPO Patent Application WO/2021/103027
Kind Code:
A1
Abstract:
Systems and methods for base station positioning based on a convolutional neural network are disclosed. The method may include acquiring, by a positioning server, feature information that is received from one or more base stations at different locations in the area of interest; generating a feature input that includes of a plurality of feature maps based on the feature information; training a convolutional neural network (CNN) based on the feature input; and determining a position of a terminal device using the trained CNN.
Inventors:
LIN YU (CN)
YIN BUYI (CN)
FENG ZHAOYANG (CN)
CHEN JUHUA (CN)
SHU WEIHUAN (CN)
YIN BUYI (CN)
FENG ZHAOYANG (CN)
CHEN JUHUA (CN)
SHU WEIHUAN (CN)
Application Number:
PCT/CN2019/122273
Publication Date:
June 03, 2021
Filing Date:
November 30, 2019
Export Citation:
Assignee:
BEIJING DIDI INFINITY TECHNOLOGY & DEV CO LTD (CN)
International Classes:
H04W64/00
Domestic Patent References:
| WO2019036860A1 | 2019-02-28 |
Foreign References:
| CN110166991A | 2019-08-23 | |||
| CN109743683A | 2019-05-10 | |||
| CN108594170A | 2018-09-28 |
Attorney, Agent or Firm:
METIS IP (CHENGDU) LLC (CN)
Download PDF:
Previous Patent: METHOD FOR PERFORMING COMMUNICATION ON BANDWIDTH PART
Next Patent: CITRUS PICKING MACHINE
Next Patent: CITRUS PICKING MACHINE