EP 4374506 A1 20240529 - DEEP LEARNING FOR RAIN FADE PREDICTION IN SATELLITE COMMUNICATIONS
Title (en)
DEEP LEARNING FOR RAIN FADE PREDICTION IN SATELLITE COMMUNICATIONS
Title (de)
TIEFENLERNEN FÜR REGENFADING-VORHERSAGE IN DER SATELLITENKOMMUNIKATION
Title (fr)
APPRENTISSAGE PROFOND POUR LA PRÉDICTION D'AFFAIBLISSEMENT DE PLUIE DANS DES COMMUNICATIONS PAR SATELLITE
Publication
Application
Priority
- US 202163203351 P 20210719
- US 202117453258 A 20211102
- US 2022073767 W 20220715
Abstract (en)
[origin: WO2023004260A1] Predicting rain fade for a rain zone using a deep learning system may include: training a Neural Network (NN) by importing into the NN a training set of image information and beacon information, wherein the image information includes image datasets including of a cloud view of an Area of Interest (AoI), a geolocation and a timestamp, and the beacon information includes beacon datasets including a beacon strength, a current rain fade state, a geolocation and a timestamp; pre-processing to homogenize and to extract spatially and temporally matching data for the AoI from a live image information and a live beacon information; and forecasting a rain fade based on the data in a near-future. The geolocation of one or more of the beacon datasets is located within the AoI, and the periodicity of the live beacon information and the live image information is less than or equal to five (5) minutes.
IPC 8 full level
H04B 7/185 (2006.01)
CPC (source: EP)
G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/08 (2013.01); H04B 7/18513 (2013.01); G06N 3/0442 (2023.01); G06N 3/048 (2023.01); Y02A 90/10 (2018.01)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
Designated validation state (EPC)
KH MA MD TN
DOCDB simple family (publication)
WO 2023004260 A1 20230126; CA 3225182 A1 20230126; EP 4374506 A1 20240529
DOCDB simple family (application)
US 2022073767 W 20220715; CA 3225182 A 20220715; EP 22755037 A 20220715