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:
Jan. 06, 2026

Filed:

Mar. 07, 2023
Applicant:

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

Inventor:

Mahdi Maaref, Mountain View, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01S 19/28 (2010.01); G01S 19/22 (2010.01);
U.S. Cl.
CPC ...
G01S 19/28 (2013.01); G01S 19/22 (2013.01);
Abstract

Machine learning techniques are used to perform RANSAC like processing in a GNSS receiver. A model (e.g., one or more neural networks) is trained to perform this processing to generate a selection of a subset of GNSS SVs. In one embodiment, the trained model is used during inferencing in a GNSS receiver. A method in a GNSS receiver can include the following operations: receiving GNSS signals from a plurality of SVs; extracting a set of features from the received GNSS signals, the set of features being predetermined based on a trained model in the GNSS receiver, the trained model having been trained to select a subset of GNSS SVs based on the set of features including RANSAC (random sample consensus) residuals; applying the set of features as an input to the trained model; generating, by the trained model, a selection of a subset of GNSS SVs based in part on RANSAC residuals and based on other features in the set of features; and computing a position solution using GNSS signals received from the subset of GNSS SVs.


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