US 12,184,392 B2 · Learning-based space communications systems

Abstract

Methods and systems including computer programs encoded on computer storage media, for training and deploying machine-learned communication over RF channels. One of the methods includes: determining first information; generating a first RF signal by processing the first information using an encoder machine-learning network of the first transceiver; transmitting the first RF signal from the first transceiver to a communications satellite or ground station through a first communication channel; receiving, from the communications satellite or ground station through a second communication channel, a second RF signal at a second transceiver; generating second information as a reconstruction of the first information by processing the second RF signal using a decoder machine-learning network of the second transceiver; calculating a measure of distance between the second information and the first information; and updating at least one of the encoder machine-learning network of the first transceiver or the decoder machine-learning network of the second transceiver.

Claims20

Dependent claims

A method performed by one or more processors configured to train one or more machine-learning networks to process information transmitted through one or more communication channels, the method comprising:

receiving a first radio frequency (RF) signal through a first communication channel, wherein the first RF signal represents a second RF signal having been transmitted through a second communication channel different from the first communication channel and altered by at least one of transmission through the first communication channel or the second communication channel, wherein at least one of the first communication channel or the second communication channel connects to a spacecraft;
generating first information, as a reconstruction of second information used to generate the second RF signal, by processing the first RF signal using a decoder machine-learning network;
comparing the first information and the second information;
and
updating at least one of an encoder machine-learning network or the decoder machine-learning network based on the comparison of the first information and the second information.

2 more elements

A system comprising one or more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:

receiving a first radio frequency (RF) signal through a first communication channel, wherein the first RF signal represents a second RF signal having been transmitted through a second communication channel different from the first communication channel and altered by at least one of transmission through the first communication channel or the second communication channel, wherein at least one of the first communication channel or the second communication channel connects to a spacecraft;
generating first information, as a reconstruction of second information used to generate the second RF signal, by processing the first RF signal using a decoder machine-learning network;
comparing the first information and the second information;
and
updating at least one of an encoder machine-learning network or the decoder machine-learning network based on the comparison of the first information and the second information.

2 more elements

Dependencies are inferred from the claim text.

Learning-based space communications systems

Life of this patent

Learning-based space communications systems

Life of this patent

Abstract

Claims20