Localization calibration and refinement in high-speed mobile wireless systems

A system for identifying wireless devices, comprising:

• one or more sensor antennas;
• one or more radio frequency sensors configured to couple, from the one or more sensor antennas, wireless signals associated with communications between one or more user equipment devices and a base station;
• and
• a signal analysis system comprising one or more processing units, and one or more processing modules configuring the one or more processing units to:
• establish a suite of machine learning models,
• train the suite of machine learning models using physical features of the received wireless signals associated with respective ones of the user equipment devices having known positions,
• apply the trained suite of machine learning models to physical features of the received wireless signals associated with respective ones of the user equipment devices having unknown positions,
• determine the unknown positions in response to results from the trained suite of machine learning models, and
• refine the determined positions by leveraging additional information associated with the user equipment devices.

A system for identifying wireless devices, comprising:

• one or more radio frequency sensor antennas within an electromagnetic environment;
• one or more operator interfaces for communicating information associated with wireless devices;
• and
• a signal analysis engine comprising one or more processing units, and one or more processing modules configuring the one or more processing units to:
• receive, from the one or more radio frequency sensor antennas, wireless signals associated with communications between one or more user equipment devices and a base station,
• establish a suite of machine learning models,
• train the suite of machine learning models using physical features of the received wireless signals associated with respective ones of the user equipment devices having known positions,
• apply the trained suite of machine learning models to physical features of the received wireless signals associated with respective ones of the user equipment devices having unknown positions,
• determine the unknown positions in response to results from the trained suite of machine learning models,
• refine the determined positions by leveraging additional information associated with the user equipment devices, and
• present the determined positions to the one or more operator interfaces.