Patent · US Active

FMCW radar with interference signal suppression using artificial neural network

US11907829B2 · kind B2 · utility

1Cited by

2References

20Claims

0Family size

Assignee

Infineon Technologies AG · DE

Inventors

Paul Meissner · Feldkirchen bei Graz, AT
Franz Pernkopf · Graz, AT
Johanna Rock · Graz, AT
Wolfgang Roth · Zweibrücken, DE
Mate Andras Toth · Graz, AT
Alexander Fuchs · Tuttlingen, DE

Key dates

Filing date	Dec 14, 2020
Grant date	Feb 20, 2024
Priority date	—
Expiry date	Dec 14, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/084
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

A radar device may include a radar transmitter to output a radio frequency (RF) transmission signal including a plurality of frequency-modulated chirps. The radar device may include a radar receiver to receive an RF radar signal, and generate, based on the RF radar signal, a dataset including a set of digital values, the dataset being associated with a chirp or a sequence of successive chirps. The radar device may include a neural network to filter the dataset to reduce an interfering signal included in the dataset, the neural network being a convolutional neural network. At least one layer of the neural network may be a complex-valued neural network layer includes complex-valued weighting factor, where the complex-valued neural network layer is configured to perform one or more operations according to a complex-valued computation.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.