MACHINE LEARNING ASSISTED SATELLITE BASED POSITIONING

Abstract: a device implementing a system for estimating device location includes at least one processor configured to receive an estimated position based on a positioning system comprising a global navigation satellite system (gnss) satellite, and receive a set of parameters associated with the estimated position. the processor is further configured to apply the set of parameters and the estimated position to a machine learning model, the machine learning model having been trained based at least on a position of a receiving device relative to the gnss satellite. the processor is further configured to provide the estimated position and an output of the machine learning model to a kalman filter, and provide an estimated device location based on an output of the kalman filter.

Inventor(s): Benjamin A. WERNER, Brent M. LEDVINA, Dennis P. HILGENBERG, Aarti SATHYANARAYANA

CPC Classification: G01S19/428 ({using multipath or indirect path propagation signals in position determination})

Search for rejections for patent application number 20250164648