Neural network based line of sight detection and angle estimation for positioning
AssigneeQUALCOMM Incorporated
InventorsSrinivas YERRAMALLI, Xiaoxia ZHANG, Taesang YOO, Rajat PRAKASH
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Abstract
Techniques are provide for neural network based positioning of a mobile device. An example method for determining a line of sight delay, an angle of arrival, or an angle of departure value includes receiving reference signal information, determining one or more windowed channel impulse responses based on the reference signal information and one or more window functions, processing the one or more windowed channel impulse responses with a neural network, and determining an output of the neural network.
Claims28
A method for measuring a channel in a wireless communication system, comprising:
- receiving reference signal information;
- determining one or more windowed channel impulse responses based on the reference signal information and one or more window functions;
- processing the one or more windowed channel impulse responses with a neural network;
- and
- determining an output of the neural network.
A method for measuring a channel in a wireless communication system, comprising:
- receiving reference signal information;
- determining one or more channel frequency responses based on the reference signal information and one or more timing hypotheses;
- determining a channel impulse response for each of the one or more channel frequency responses;
- processing the one or more channel impulse responses with a neural network;
- and
- determining an output of the neural network.
An apparatus, comprising:
- a memory;
- at least one transceiver;
- at least one processor communicatively coupled to the memory and the at least one transceiver and configured to:
- receive reference signal information;
- determine one or more windowed channel impulse responses based on the reference signal information and one or more window functions;
- process the one or more windowed channel impulse responses with a neural network;
- and
- determine an output of the neural network.
An apparatus, comprising:
- a memory;
- at least one transceiver;
- at least one processor communicatively coupled to the memory and the at least one transceiver and configured to:
- receive reference signal information;
- determine one or more channel frequency responses based on the reference signal information and one or more timing hypotheses;
- determine a channel impulse response for each of the one or more channel frequency responses;
- process the one or more channel impulse responses with a neural network;
- and
- determine an output of the neural network.
Dependencies are inferred from the claim text.