Region-adapted neural network for location determination
AssigneeMediatek Inc.
InventorsPo-Yu Chen, Hao Chen, Tsung-Yu Chiou
Life of this patent
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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 satellite raw measurements with a quality level higher than a threshold. The location of the wireless device is calculated using the identified satellite raw measurements.
Claims20
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.
A wireless device, comprising:
- a satellite receiver operative to receive data from a plurality of satellites;
- processing circuitry;
- and
- memory to store a plurality of neural network models adapting to respective regions, wherein the processing circuitry is operative to:
- select, from the plurality of neural network models, a neural network model that has been trained to adapt to a region encompassing the location of the wireless device;
- classify, by using the neural network model, satellite raw measurements from each satellite at a given time into a corresponding quality level using the neural network model;
- and
- calculate the location of the wireless device using the satellite raw measurements that are classified as having a quality level higher than a threshold.
Dependencies are inferred from the claim text.