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1. US20210367681 - Interference suppression using machine learning

Office
United States of America
Application Number 16878354
Application Date 19.05.2020
Publication Number 20210367681
Publication Date 25.11.2021
Grant Number 11212015
Grant Date 28.12.2021
Publication Kind B2
IPC
H04B 15/00
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
BTRANSMISSION
15Suppression or limitation of noise or interference
H04B 1/10
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
BTRANSMISSION
1Details of transmission systems, not covered by a single one of groups H04B3/-H04B13/123; Details of transmission systems not characterised by the medium used for transmission
06Receivers
10Means associated with receiver for limiting or suppressing noise or interference
H04K 3/00
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
KSECRET COMMUNICATION; JAMMING OF COMMUNICATION
3Jamming of communication; Counter-measures
CPC
H04B 15/00
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
BTRANSMISSION
15Suppression or limitation of noise or interference
Applicants The Aerospace Corporation
Inventors Phillip B. Hess
Andres I. Vila Casado
Aidan Wilson
Agents Jones Day
Title
(EN) Interference suppression using machine learning
Abstract
(EN)

Methods, systems, and computer program products are described for automatically reducing interference within received signals. A first radio frequency (RF) signal having (i) a desired component and (ii) an interference component with a noise component and a jammed component is received. A trained machine learning (ML) model extracts, from the RF signal, the jammed component and a portion of the noise component. The trained ML model generates and outputs a second RF signal comprising the desired component and a reduced noise component. The reduced noise component has the portion of the noise component removed. The jammed component is removed from the second RF signal.