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:
May. 20, 2025

Filed:

Jun. 08, 2022
Applicant:

Onenav, Inc., Palo Alto, CA (US);

Inventors:

Mahdi Maaref, Mountain View, CA (US);

Lionel Garin, Palo Alto, CA (US);

Assignee:

oneNav, Inc., Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/13 (2010.01); G01S 19/39 (2010.01); G01S 19/52 (2010.01); G06N 3/08 (2023.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G01S 19/13 (2013.01); G01S 19/396 (2019.08); G01S 19/52 (2013.01); G06N 3/08 (2013.01); G06N 3/084 (2013.01);
Abstract

Machine learning techniques are used to compute predicted range rate errors in a GNSS receiver. In one embodiment, training data is computed to provide true range rate error data for a set of received GNSS signals. A system extracts features from the set of received GNSS signals and uses the extracted features and the true range rate error data to train a model (e.g., a set of one or more neural networks) that can produce predicted range rate errors for use in correcting measurements. The trained set of one or more neural networks can be deployed in GNSS receivers and used in the GNSS receivers to correct Doppler measurements using the predicted range rate errors provided by the trained set of one or more neural networks.


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