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:
Oct. 14, 2025

Filed:

Jul. 26, 2022
Applicant:

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

Inventors:

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

Kevin L. Fox, Palm Bay, FL (US);

Gran Roe, Melbourne, FL (US);

Christopher Jason Berger, Leesburg, VA (US);

Ralph Smith, Oak Hill, VA (US);

Timothy B. Faulkner, Palm Bay, FL (US);

Robert Konczynski, Melbourne, FL (US);

Kevin R. Niewoehner, Stafford, VA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06N 7/01 (2023.01); G08G 5/22 (2025.01);
U.S. Cl.
CPC ...
G06N 5/042 (2013.01); G06N 7/01 (2023.01); G08G 5/22 (2025.01);
Abstract

An Automatic Dependent Surveillance Broadcast (ADS-B) system may include a plurality of ADS-B terrestrial stations, with each ADS-B terrestrial station comprising an antenna and wireless circuitry associated therewith defining a station gain pattern. The system may further include a controller including a variational autoencoder (VAE) configured to compress station pattern data from the plurality of ADS-B terrestrial stations, create a normal distribution of the compressed data in a latent space of the VAE, and decompress the compressed station pattern data from the latent space. The controller may also include a processor coupled to the VAE and configured to process the decompressed station pattern data using a probabilistic model selected from among different probabilistic models based upon a game theoretic reward matrix, determine an anomaly from the processed decompressed station pattern data, and generate an alert (e.g., a station specific alert) based upon the determined anomaly.


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