Region-Adapted Neural Network for Location Determination

Abstract

A wireless device includes a satellite receiver to receive data from multiple satellites. The wireless device also includes processing circuitry and memory. The memory stores one or more neural network models. The processing circuitry is operative to identify a neural network model that has been trained to adapt to a region in which the wireless device operates, classify satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model, and identify satellites raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.

Dependencies are inferred from the claim text.