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:

Mar. 20, 2024
Applicant:

Hawkeye 360, Inc., Herndon, VA (US);

Inventors:

Nick Mccarthy, Herndon, VA (US);

Darek Kawamoto, Herndon, VA (US);

Michael Drob, Herndon, VA (US);

Kaitlin Zimmerman, Herndon, VA (US);

Eric Mason, Herndon, VA (US);

Assignee:

HawkEye 360, Inc., Herndon, VA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04W 64/00 (2009.01); G06N 20/00 (2019.01); H04B 17/391 (2015.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); H04B 17/3913 (2015.01);
Abstract

Systems and methods to implement the initialization and steady state operation of a system for geolocation-aided unique signal recognition (USR). The unique signal recognition (USR) technique uses geospatial location data (geolocation data), labeled datasets, expert curated datasets, and partially labeled 'enhanced' datasets for training a machine-learning radio frequency signal recognition model (also referred to as “RF recognition model” (RFRM)) to recognize and locate certain RF signal emitters of interest. The unique signal recognition may utilize a variety of data clustering techniques that operate on batches of data, comprising a corpus of linked RF data and derived features.


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