Title:
NON-LINE-OF-SIGHT PROPAGATION CHANNEL IDENTIFICATION METHOD AND DEVICE, WIRELESS COMMUNICATION SYSTEM AND MEDIUM
Document Type and Number:
WIPO Patent Application WO/2024/036844
Kind Code:
A1
Abstract:
The present disclosure provides a non-line-of-sight propagation channel identification method and device, a wireless communication system and a medium. The method comprises: obtaining measured channel data corresponding to a wireless communication channel; preprocessing the measured channel data to determine first measured data, wherein the preprocessing comprises at least one of channel calibration, outlier removal and denoising; performing feature space transformation on the first measured data to determine second measured data; and inputting the second actual measurement data into a deep neural network (DNN), and determining a channel identification result output by the deep neural network (DNN). The method can address defects that an identification result corresponding to the channel data cannot be accurately obtained due to limitations of classic methods, and realizes a non-line-of-sight propagation channel identification method based on a deep neural network (DNN). The identification process of the measured channel data is simplified, and the channel identification result corresponding to the measured channel data can be accurately determined while the identification efficiency is improved.
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Inventors:
JIA XINGHUA (CN)
QI WANGDONG (CN)
YOU XIAOHU (CN)
LIU PENG (CN)
HUANG YONGMING (CN)
LIU SHENGHENG (CN)
LI YUQING (CN)
QI WANGDONG (CN)
YOU XIAOHU (CN)
LIU PENG (CN)
HUANG YONGMING (CN)
LIU SHENGHENG (CN)
LI YUQING (CN)
Application Number:
PCT/CN2022/139663
Publication Date:
February 22, 2024
Filing Date:
December 16, 2022
Export Citation:
Assignee:
PURPLE MOUNTAIN LABORATORIES (CN)
International Classes:
H04W24/02
Foreign References:
| CN113970761A | 2022-01-25 | |||
| CN113469110A | 2021-10-01 | |||
| US20210321221A1 | 2021-10-14 |
Other References:
YINAN WANG: "5G indoor hybrid positioning algorithm based on deep neural network", JOURNAL OF XI'AN UNIVERSITY OF POSTS AND TELECOMMUNICATIONS, vol. 25, no. 4, 10 July 2020 (2020-07-10), pages 43 - 47, XP093140806
ZHANG RUI; XIA WEIWEI; YAN FENG; SHEN LIANFENG: "A single-site positioning method based on TOA and DOA estimation using virtual stations in NLOS environment", CHINA COMMUNICATIONS, CHINA INSTITUTE OF COMMUNICATIONS, PISCATAWAY, NJ, USA, vol. 16, no. 2, 1 February 2019 (2019-02-01), Piscataway, NJ, USA , pages 146 - 159, XP011714096, ISSN: 1673-5447, DOI: 10.12676/j.cc.2019.02.010
ZHANG RUI; XIA WEIWEI; YAN FENG; SHEN LIANFENG: "A single-site positioning method based on TOA and DOA estimation using virtual stations in NLOS environment", CHINA COMMUNICATIONS, CHINA INSTITUTE OF COMMUNICATIONS, PISCATAWAY, NJ, USA, vol. 16, no. 2, 1 February 2019 (2019-02-01), Piscataway, NJ, USA , pages 146 - 159, XP011714096, ISSN: 1673-5447, DOI: 10.12676/j.cc.2019.02.010
Attorney, Agent or Firm:
CN-KNOWHOW INTELLECTUAL PROPERTY AGENT LIMITED (CN)
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