The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 31, 2024

Filed:

Aug. 31, 2023
Applicant:

Deepsig Inc., Arlington, VA (US);

Inventors:

Timothy James O'Shea, Arlington, VA (US);

James Shea, Arlington, VA (US);

Ben Hilburn, Arlington, VA (US);

Assignee:

DeepSig Inc., Arlington, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04B 17/336 (2015.01); G06N 20/00 (2019.01); H04B 7/185 (2006.01); H04B 17/318 (2015.01); H04B 17/345 (2015.01);
U.S. Cl.
CPC ...
H04B 7/18513 (2013.01); G06N 20/00 (2019.01); H04B 7/18521 (2013.01); H04B 7/18523 (2013.01); H04B 17/318 (2015.01); H04B 17/336 (2015.01); H04B 17/345 (2015.01);
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.


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