US 12,306,312 B2
Machine learning in GNSS receivers for improved velocity outputs
Mahdi Maaref, Mountain View, CA (US); and Lionel Garin, Palo Alto, CA (US)
Assigned to oneNav, Inc., Sunnyvale, CA (US)
Filed by oneNav, Inc., Palo Alto, CA (US)
Filed on Jun. 8, 2022, as Appl. No. 17/806,045.
Claims priority of provisional application 63/285,823, filed on Dec. 3, 2021.
Claims priority of provisional application 63/243,028, filed on Sep. 10, 2021.
Claims priority of provisional application 63/216,905, filed on Jun. 30, 2021.
Prior Publication US 2023/0126547 A1, Apr. 27, 2023
Int. Cl. 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)
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)] 7 Claims
OG exemplary drawing
 
1. A global navigation satellite system (GNSS) receiver comprising:
an antenna to receive GNSS signals from GNSS satellites (SVs);
a radiofrequency (RF) front end coupled to the antenna to amplify the GNSS signals;
an analog to digital converter (ADC) coupled to the RF front end to generate a digital representation of received GNSS signals;
a baseband memory coupled to the ADC to store the digital representation;
a GNSS processing system coupled to the baseband memory to process the received GNSS signals, the GNSS processing system including a set of correlators that provide outputs that include correlation outputs;
wherein the GNSS processing system includes processing logic to extract a set of features from the received GNSS signals, the set of features being predetermined based on a trained model in the GNSS receiver and being related to range rate errors;
wherein the GNSS processing system includes processing logic to apply the set of features as an input to the trained model; and
wherein the GNSS processing system includes processing logic to generate, by the trained model, a set of one or more predicted range rate errors to correct one or more measurements made by the GNSS receiver.