Title:
SIGNAL DETECTION METHOD AND APPARATUS
Document Type and Number:
WIPO Patent Application WO/2023/108436
Kind Code:
A1
Abstract:
Disclosed in embodiments of the present invention are a signal detection method and apparatus, which are applied to the technical field of communications. A method executed by a network side device comprises: receiving a signal of a terminal device, and performing channel estimation, so as to obtain a channel matrix; performing data preprocessing on the channel matrix to obtain a first matrix and a first vector; inputting the first matrix and the first vector into a trained deep learning model to obtain an estimated detection signal, wherein the trained deep learning model comprises N trained convolutional network models, and N is a positive integer equal to the number of transmitting antennas. Therefore, the complexity of signal detection can be reduced.
Inventors:
CHEN DONG (CN)
CHI LIANGANG (CN)
CHI LIANGANG (CN)
Application Number:
PCT/CN2021/138021
Publication Date:
June 22, 2023
Filing Date:
December 14, 2021
Export Citation:
Assignee:
BEIJING XIAOMI MOBILE SOFTWARE CO LTD (CN)
International Classes:
H04B7/0413; G06N3/02; H04B17/391
Foreign References:
| CN101674160A | 2010-03-17 | |||
| CN103532609A | 2014-01-22 | |||
| CN112261685A | 2021-01-22 |
Other References:
ZHANG JING; HE YUNFENG; LI YU-WEN; WEN CHAO-KAI; JIN SHI: "Meta Learning-Based MIMO Detectors: Design, Simulation, and Experimental Test", IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, IEEE SERVICE CENTER, PISCATAWAY, NJ., US, vol. 20, no. 2, 20 October 2020 (2020-10-20), US , pages 1122 - 1137, XP011837367, ISSN: 1536-1276, DOI: 10.1109/TWC.2020.3030882
Attorney, Agent or Firm:
FASHENG INTELLECTUAL PROPERTY COMPANY, LTD. (CN)
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