公开(公告)号：US20220196379A1

公开(公告)日：2022-06-23

申请号：US17550246

申请日：2021-12-14

Applicant: Infineon Technologies AG

Inventor： Richard HEINZ ,  Andrea HEINZ ,  Stephan LEISENHEIMER

IPC: G01B7/30 ,  G01D5/14 ,  G01D5/16 ,  G06N3/08 ,  G06N3/04

Abstract: An exemplary embodiment relates to a device for training a neural network for determining a rotation angle of an object. The device is configured to receive system data via a sensor system for measuring a magnetic field in order to determine the rotation angle. The device is also configured to generate error data which includes at least one deviation of the system data from a target state of the sensor system or the strength of the components of a superimposed external magnetic field. Furthermore, the device is configured to create training data using the system data and the error data and to train the neural network using the training data.