Estimating direction of arrival of electromagnetic energy using machine learning

A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:

• positioning a radio signal receiver at a first location within a three dimensional space;
• positioning a transmitter at a second location within the three dimensional space;
• transmitting a transmission signal from the transmitter to the radio signal receiver;
• processing, using a machine-learning network, one or more parameters of the transmission signal received at the radio signal receiver;
• in response to the processing, obtaining, from the machine-learning network, a prediction corresponding to a direction of arrival of the transmission signal transmitted by the transmitter;
• computing an error term by comparing the prediction to a set of ground truths;
• and
• updating the machine-learning network based on the error term.

A system, comprising:

• one or more processors;
• and
• machine-readable media interoperably coupled with the one or more processors and storing one or more instructions that, when executed by the one or more processors, perform operations comprising:
• positioning a radio signal receiver at a first location within a three dimensional space;
• positioning a transmitter at a second location within the three dimensional space;
• transmitting a transmission signal from the transmitter to the radio signal receiver;
• processing, using a machine-learning network, one or more parameters of the transmission signal received at the radio signal receiver;
• in response to the processing, obtaining, from the machine-learning network, a prediction corresponding to a direction of arrival of the transmission signal transmitted by the transmitter;
• computing an error term by comparing the prediction to a set of ground truths;
• and
• updating the machine-learning network based on the error term.