US 12,228,657 B2
Region-adapted neural network for location determination
Po-Yu Chen, Hsinchu (TW); Hao Chen, Hsinchu (TW); and Tsung-Yu Chiou, Hsinchu (TW)
Assigned to MediaTek Inc., Hsinchu (TW)
Filed by MediaTek Inc., Hsinchu (TW)
Filed on Jun. 28, 2022, as Appl. No. 17/851,924.
Claims priority of provisional application 63/235,213, filed on Aug. 20, 2021.
Prior Publication US 2023/0057518 A1, Feb. 23, 2023
Int. Cl. G01S 19/25 (2010.01); H04B 7/185 (2006.01); H04W 4/029 (2018.01)
CPC G01S 19/25 (2013.01) [H04B 7/18556 (2013.01); H04W 4/029 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A method for determining a location of a wireless device that receives data from a plurality of satellites, comprising:
selecting, from a plurality of neural network models adapting to respective regions, a neural network model that has been trained to adapt to a region encompassing the location of the wireless device;
classifying, by using the neural network model, satellite raw measurements from each satellite at a given time into a corresponding quality level; and
calculating the location of the wireless device using the satellite raw measurements that are classified as having a quality level higher than a threshold.