WO2024007299 - A SIGNAL PROCESSING DEVICE AND METHOD FOR A NON-STATIONARY DYNAMIC ENVIRONMENT

National phase entry is expected:
Publication Number WO/2024/007299
Publication Date 11.01.2024
International Application No. PCT/CN2022/104621
International Filing Date 08.07.2022
Title **
[English] A SIGNAL PROCESSING DEVICE AND METHOD FOR A NON-STATIONARY DYNAMIC ENVIRONMENT
[French] DISPOSITIF ET PROCÉDÉ DE TRAITEMENT DE SIGNAL POUR UN ENVIRONNEMENT DYNAMIQUE NON STATIONNAIRE
Applicants **
HUAWEI TECHNOLOGIES CO., LTD.
Inventors
KUZMINSKIY, Alexandr
XIAO, Pei
TAFAZOLLI, Rahim
WANG, Fan
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Quotation for National Phase entry

Country StagesTotal
China Filing, Examination, Granting1801
EPO Filing, Examination, Granting13407
Japan Filing, Examination, Granting2275
South Korea Filing, Examination, Granting2210
USA Filing, Examination, Granting5940
MasterCard Visa
Total: 25,633

The term for entry into the National Phase has expired. This quotation is for informational purposes only

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Abstract[English] A receiver (200) for a wireless network, devices (100,110) for the receiver (200) and the receiver (200) including the devices (100,110) are disclosed. The devices (100,110) are configured to obtain a received signal (101) and one or more pilot symbols (102), which are received by the receiver (200) over a channel. A first device (100) is configured to determine a data-regularized covariance matrix (103) based on both the received signal (101) and the one or more pilot symbols (102). A second device (110) is configured to train a machine learning model (111) based on the one or more pilot symbols (102). The first device (100) is then configured to determine an estimate(104) of the received signal (101) based on the received signal (101) and the data-regularized covariance matrix (103), while the second devices (110) is configured to determine the estimate (104) of the received signal (101) by applying the trained machine learning model (111) to the received signal (101).[French] L'invention concerne un récepteur (200) pour un réseau sans fil, des dispositifs (100, 110) pour le récepteur (200), le récepteur (200) comprenant les dispositifs (100, 110). Les dispositifs (100, 110) sont configurés pour obtenir un signal reçu (101) et un ou plusieurs symboles pilotes (102), qui sont reçus par le récepteur (200) sur un canal. Un premier dispositif (100) est configuré pour déterminer une matrice de covariance régularisée par les données (103) sur la base à la fois du signal reçu (101) et du ou des symboles pilotes (102). Un second dispositif (110) est configuré pour former un modèle d'apprentissage automatique (111) sur la base du ou des symboles pilotes (102). Le premier dispositif (100) est ensuite configuré pour déterminer une estimation (104) du signal reçu (101) sur la base du signal reçu (101) et de la matrice de covariance régularisée par les données (103), tandis que les seconds dispositifs (110) sont configurés pour déterminer l'estimation (104) du signal reçu (101) en appliquant le modèle d'apprentissage automatique entraîné (111) au signal reçu (101).

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