FMCW radar with interference signal suppression using artificial neural network

US11885903B2 · kind B2 · utility

Assignee

• Infineon Technologies AG · DE

Inventors

• Paul Meissner · Feldkirchen bei Graz, AT
• Elmar Messner · Graz, AT
• Franz Pernkopf · Graz, AT
• Johanna Rock · Graz, AT
• Mate Andras Toth · Graz, AT

Key dates

• Filing date: Mar 12, 2020
• Grant date: Jan 30, 2024
• Expiry date: Apr 7, 2041

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/08
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A method for a radar device is described below. According to an example implementation, the method comprises transmitting an RF transmission signal that comprises a plurality of frequency-modulated chirps, and receiving an RF radar signal and generating a dataset containing in each case a particular number of digital values based on the received RF radar signal. A dataset may in this case be associated with a chirp or a sequence of successive chirps. The method furthermore comprises filtering the dataset by way of a neural network to which the dataset is fed in order to reduce an interfering signal contained therein. A convolutional neural network is used as the neural network.