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US 2022/0187446 A1Published application
Neural network-based radio frequency network design in a radar system of a vehicle
AssigneeGM Global Technology Operations LLC
InventorsOded Bialer, Noa Garnett, Amnon Jonas, Ofer Givati
Life of this patent
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Abstract
A method of designing a radar system includes implementing a supervised learning process of a neural network to determine a weight corresponding with each of a plurality of patch antennas of a radar system. Each of the plurality of patch antennas is sized in accordance with the weight.
Claims20
A method of designing a radar system, the method comprising:
- implementing a supervised learning process of a neural network to determine a weight corresponding with each of a plurality of patch antennas of a radar system;
- and
- sizing each of the plurality of patch antennas in accordance with the weight.
A radar system comprising:
- a plurality of patch antennas that are part of a radio frequency (RF) network of the radar system, wherein a relative size of each of the plurality of patch antennas is non-uniform and is based on a supervised learning process implemented by a neural network;
- and
- processing circuitry configured to detect and locate one or more objects based on reflected signals received by the plurality of patch antennas.
Dependencies are inferred from the claim text.