US 12705546 B2 / Aug 11, 2026

Geolocation-aided unique signal recognition

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.

Publication details

Recorded assignee
HawkEye 360, Inc.
Publication number
US 12705546 B2
Publication type
Utility patent grant
Publication date
Aug 11, 2026
Filing date
Mar 20, 2024
CPC classes
G06N20/00, G06N3/045, H04B17/3913
Inventors
McCarthy; Nick, Kawamoto; Darek, Drob; Michael, Zimmerman; Kaitlin, Mason; Eric

Party names reflect the published document. Current ownership and legal status can change.

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