Localization calibration and refinement in high-speed mobile wireless systems

US10705178B2 · kind B2 · utility

Assignee

• Bastille Networks, Inc. · US

Inventors

• Robert John Baxley · Atlanta, US
• Sandor Szilvasi · Atlanta, US
• Luke Harwood · Decatur, US
• Roy S. Thompson, III · Marietta, US
• Sebastian Balint Seeber · San Francisco, US
• Christian Sepulveda · San Mateo, US

Key dates

• Filing date: Oct 3, 2018
• Grant date: Jul 7, 2020
• Expiry date: Oct 3, 2038

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04W64/003
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Systems and methods can support improved position locating of wireless devices. A suite of machine learning models may be established. Radio frequency sensors may be positioned within an electromagnetic environment where user equipment devices are serviced by a base station. The radio frequency sensors can receive wireless signals associated with communications between the user equipment devices and the base station. The suite of machine learning models may be trained using wireless signals received from user equipment devices in known positions. The trained suite of machine learning models can be applied to wireless signals received from user equipment devices in unknown positions. The trained suite of machine learning models may be used to estimate the unknown positions. The estimated positions may be refined using additional information from the user equipment devices.