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:
Aug. 11, 2026

Filed:

May. 24, 2023
Applicant:

Eagle Technology, Llc, Melbourne, FL (US);

Inventors:

Chad Lau, Melbourne, FL (US);

Mark D. Rahmes, Melbourne, FL (US);

David B. Chester, Palm Bay, FL (US);

Michael C. Garrett, Melbourne, FL (US);

Assignee:

EAGLE TECHNOLOGY, LLC, Melbourne, FL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 7/41 (2006.01); G01S 13/90 (2006.01); G06F 15/82 (2006.01); G06F 17/14 (2006.01); G06F 17/18 (2006.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01); G06N 3/094 (2023.01); G06N 7/01 (2023.01); G06N 10/20 (2022.01); G06N 10/60 (2022.01);
U.S. Cl.
CPC ...
G01S 7/417 (2013.01); G06N 10/20 (2022.01); G01S 13/9004 (2019.05); G06F 15/82 (2013.01); G06F 17/14 (2013.01); G06F 17/18 (2013.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/0455 (2023.01); G06N 3/0464 (2023.01); G06N 3/047 (2023.01); G06N 3/0475 (2023.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01); G06N 3/094 (2023.01); G06N 7/01 (2023.01); G06N 10/60 (2022.01);
Abstract

A cognitive radio device may include an RF receiver configured to receive interfering RF signals, an RF transmitter configured to be selectively operated, a quantum computing circuit configured to perform quantum subset summing, and a processor. The processor may be configured to generate a game theory reward matrix for a plurality of different deep learning models, cooperate with the quantum computing circuit to perform quantum subset summing of the game theory reward matrix, select a deep learning model from the plurality thereof based upon the quantum subset summing of the game theory reward matrix, and process the received interfering RF signals using the selected deep learning model for selectively operating the RF transmitter.


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