US 12706694 B2 / Aug 11, 2026

Geolocation-aided unique signal recognition

Methods and systems, including computer programs encoded on a computer-readable medium, are described for implementing geolocation-aided unique signal recognition. For example, a system obtains radio frequency (RF) signals emitted by one or more emitters and processes the RF signals using a deinterleaving operation that integrates geolocation information for individual receivers that detect at least one of the RF signals. A grouping of RF signals that indicate an association with a particular one of the emitters is determined based on the deinterleaving operation. The system i) generates iterative sets of labeled training data with labels for RF signal inputs derived from the signal grouping and ii) generates an RF signal recognition model from machine-learning performed using the iterative sets of labeled training data. Based on detection of an RF signal by a receiver, the RF recognition model determines a geolocation of a corresponding emitter that emits a particular RF signal.

Publication details

Recorded assignee
HawkEye 360, Inc.
Publication number
US 12706694 B2
Publication type
Utility patent grant
Publication date
Aug 11, 2026
Filing date
Mar 6, 2023
CPC classes
G06N3/0455, H04L1/0071, G01S5/0278, G01S7/021, G06N3/09, H04L1/0045, G01S5/0249, G06N3/0442, G06N3/0464, G06N3/047, G06N3/08, G06N3/086, G06N3/088, G06N3/0895, H04B17/30
Inventors
McCarthy; Nick, Kawamoto; Darek

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

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