US 12,000,938 B2
Machine learning assisted satellite based positioning
Benjamin A. Werner, San Jose, CA (US); Brent M. Ledvina, San Francisco, CA (US); Dennis P. Hilgenberg, San Jose, CA (US); and Aarti Sathyanarayana, Shoreview, MN (US)
Assigned to Apple Inc., Cupertino, CA (US)
Filed by Apple Inc., Cupertino, CA (US)
Filed on Feb. 8, 2023, as Appl. No. 18/107,496.
Application 18/107,496 is a division of application No. 16/536,234, filed on Aug. 8, 2019, granted, now 11,604,287.
Claims priority of provisional application 62/716,912, filed on Aug. 9, 2018.
Prior Publication US 2023/0184961 A1, Jun. 15, 2023
Int. Cl. G01S 19/42 (2010.01); G01S 19/39 (2010.01); G06N 20/00 (2019.01)
CPC G01S 19/428 (2013.01) [G01S 19/393 (2019.08); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an estimated position of a first device based on a positioning system comprising a Global Navigation Satellite System (GNSS) satellite;
receiving a set of parameters associated with the estimated position, the set of parameters comprising at least one parameter corresponding to a position of the first device relative to the GNSS satellite;
receiving a reference position of the first device based on a reference positioning system;
training a machine learning model based on the estimated position, the reference position and the set of parameters; and
providing the machine learning model to estimate device location of a second device based on a subsequent position provided by the positioning system.